ASAP Articles

Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).
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Sulfur and lead isotopic compositions of Hongtuling and Dahu Au-Mo deposit in the Xiaoqinling district, and implications for the regional metallogeny
, Available online  , doi: 10.19509j.cnki.dzkq.tb202607029
Abstract:
  The Xiaoqinling area on the southern margin of the North China Craton is one of Chinese most important gold‑producing bases, where vein‑type gold deposits are widely developed, with molybdenum mineralization occurring as paragenetic or associated components in similar deposits. The age and genesis of gold mineralization in this region have long been controversial. Taking the representative Hongtuling and Dahu Au‑Mo deposits in the Xiaoqinling area as research subjects, this study systematically conducts sulfur (S) and lead (Pb) isotope analyses of sulfides and gangue minerals in gold and molybdenum orebodies on the basis of detailed field geological surveys and ore microscopy. Combined with published geochronological data on magmatism and mineralization, we discuss the material sources and genetic links of gold and molybdenum mineralization.The results show that sulfides from gold orebodies in the Hongtuling and Dahu deposits have similar sulfur isotope compositions (δ³⁴S = −4.4‰ to −0.2‰), consistent with typical magmatic sulfur. In contrast, sulfides from molybdenum orebodies are markedly enriched in ³²S (δ³⁴S = −10.6‰ to −1.6‰). The distinct sulfur isotope signatures may reflect variations in ore‑forming physicochemical conditions or differences in sulfur sources. For lead isotopes, molybdenum orebodies exhibit compositions similar to those of metamorphic rocks of the Taihua Group, indicating that molybdenum‑forming materials were mainly derived from the crust. Lead isotopes of gold orebodies plot along the lead evolution trend of the North China Craton lithospheric mantle, consistent with Early Cretaceous mantle‑derived mafic dikes, suggesting that gold‑forming materials were predominantly sourced from the lithospheric mantle.
  Integrating our findings with previous geochronological data, it is concluded that Au and Mo mineralization in the Xiaoqinling area resulted from the spatial superposition of an Early Mesozoic molybdenum metallogenic system and a Late Mesozoic gold metallogenic system, with the two having distinct material sources and tectonic‑metallogenic settings. This understanding bears important theoretical significance for correctly interpreting regional metallogenic geochronology data, establishing regional metallogenic models, and guiding mineral exploration in the area.
Coordinated and efficient prediction of multiple parameters for complex shale reservoirs based on deep learning: A case study of Qingshankou Formation in Songliao Basin
LI Qianyi, SUN Yuhang, WANG Xuyu, WEI Hao, ZHONG Zhi
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250327
Abstract:
Objective

The Upper Cretaceous Qingshankou Formation of the Songliao Basin represents a critical exploration target for continental shale oil in China. Nevertheless, this shale reservoir is characterized by strong reservoir heterogeneity and complex lithological assemblages. Practical exploration is further constrained by limited core test samples and scarce nuclear magnetic resonance (NMR) logging data in the study area. Conventional reservoir evaluation approaches suffer from limited prediction accuracy and poor regional adaptability. Meanwhile, purely data-driven machine learning models frequently suffer from deteriorated generalization ability when training datasets are insufficient. To resolve these bottlenecks, this study develops a multi-parameter coordinated prediction method integrating geological prior knowledge and machine learning algorithms for quantitative well-log evaluation of key shale reservoir parameters.

Methods

An integrated prediction framework was constructed by combining an improved ΔlogR method, a lightweight fully connected neural network (FCNN), and core-calibrated optimized empirical formulas to achieve high-precision coordinated inversion of total organic carbon mass fraction w (TOC), three major mineral components, and total porosity. The improved ΔlogR algorithm adopted segmented stratigraphic baseline calibration and dynamically adjustable weighting coefficient D, which mitigated the limitations of fixed-baseline linear assumptions and adapted to nonlinear logging responses within high-maturity shale intervals. The lightweight FCNN took seven conventional well-logging curves as input variables: acoustic travel time (AC), gamma ray (GR), caliper (CAL), compensated neutron log (CNL), logarithmic deep lateral resistivity (logLLD), spontaneous potential (SP), and compensated density (DEN). It established a nonlinear inversion model for felsic, clay, and carbonate mineral contents. For porosity estimation, an acoustic-density-neutron synergistic calculation formula was optimized using core-measured porosity data. It substantially enhanced the prediction accuracy for ultra-low-porosity shale reservoirs.

Results

Blind-well validation demonstrated that the improved ΔlogR method increased the coefficient of determination R2 of w (TOC) prediction from 0.613 to 0.786. The lightweight FCNN mineral prediction model yielded an average R2 of 0.867 and maintained favorable generalization ability under small-sample conditions. After formula optimization, the R2 of porosity prediction increased from 0.68 to 0.91.

Conclusion

The proposed prediction workflow balances geological rationality and physical interpretability and effectively alleviates the problem of insufficient model generalization caused by limited training samples. It remarkably improves prediction accuracy and stability for multi-parameter inversion in complex shale reservoirs and forms an integrated well-log interpretation system applicable to small-sample unconventional reservoirs. This study can provide reliable technical support for “sweet spot” identification, fracability assessment, and efficient development of shale oil reservoirs in the Songliao Basin and other similar continental basins worldwide.

, Available online  , doi: 10.19509j.cnki.dzkq.tb202605068
Abstract:
[Objective] Addressing the challenges of strong non-linearity and the tendency of traditional inversion methods to fall into local extrema in deep complex target detection, as well as the poor generalization across different observation arrays and insufficient resolution in existing deep learning methods for borehole-to-surface resistivity. [Methods] This paper proposes a deep learning inversion method (OAM-SwinUNet) that integrates spatial geometric mapping with a learnable soft mask mechanism. First, a multi-channel spatial geometric mapping strategy is designed to introduce prior physical information—such as apparent resistivity, source depth, and measurement positions—into the feature space. Second, the Swin-UNet architecture is refined by integrating partial convolution during the feature embedding stage to suppress feature dilution caused by sparse data. A learnable soft mask mechanism is also introduced to enhance the network's ability to suppress invalid padding regions and model global spatial features. Finally, a dataset comprising 30, 000 groups of complex geometric anomalies (including single/double rectangles and convex quadrilaterals) was constructed using Gmsh for training and validation. [Results] Theoretical model tests and ablation experiments demonstrate that the model reduces the root mean square error (RMSE) to 25.023 Ω·m and improves the structural similarity index (SSIM) to 0.9626 on the test set. Compared to the standard Swin-UNet, the proposed model shows significant improvements in prediction accuracy and boundary characterization. Furthermore, the network remains stable in recovering the position and overall morphology of anomalies when confronted with out-of-distribution (OOD) electrode configurations, 5% gaussian noise, and complex triple-rectangular models. [Conclusion] This method effectively fuses local feature extraction with global physical constraints, significantly enhancing the precision of borehole-to-surface resistivity inversion and its adaptability to different observation arrays. It provides a reliable technical method for the real-time and high-resolution inversion of various geological structures.
Geological Characteristics and Ore Genesis of the Laizi Gou Gold Deposit in Muping, Jiaodong
, Available online  , doi: 10.19509j.cnki.dzkq.tb202607011
Abstract:
[Objective] To determine the ore-forming age, characteristics of ore-forming fluids, sources of ore-forming materials, and genesis mechanisms of the Lazi Gou gold deposit. [Methods] This study systematically investigated the deposit using a combination of analytical techniques, including LA-ICP-MS Rb-Sr dating of phlogopite, C-O isotopes of calcite, in situ S isotopes of sulfides, laser Raman spectroscopy and microthermometry of fluid inclusions, and LA-ICP-MS trace element analysis of pyrite. [Results] The mineralization age of Lazigou gold deposit is 120.9 ± 6.62 Ma; Au is present in pyrite in the form of solid solution and nano-sized gold; each stage of pyrite shows uniform, sulfur-rich characteristics and is closely related to the surrounding rocks; the mineralization fluid as a whole is characterized by a medium-low temperature, medium-low salinity system. The uniform temperature during the main mineralization period was 123.4 - 238.7℃, the salinity was 2.07% - 12.16% NaCl eqv, the fluid density was 0.88 - 0.94 g/cm³, the minimum trapping pressure was 7.9 - 25.3 MPa, and the mineralization depth was 0.30 - 0.95 km. The mineralizing fluid during the quartz-carbonate stage had characteristics of deep origin. [Conclusion] Under the background of the subduction and retreat of the Early Cretaceous ancient Pacific plate and the enhanced regional crust-mantle interaction, deep fluids rose along fault structures and reacted with the surrounding rocks during their migration process, resulting in the continuous activation, migration and enrichment of ore-forming materials, and ultimately forming gold deposits.
Methodological Framework and Research Progress of Groundwater Monitoring Network Optimization
, Available online  , doi: 10.19509j.cnki.dzkq.tb202607035
Abstract:
Groundwater is an important strategic resource for ensuring water security and maintaining ecosystem stability. Groundwater monitoring networks provide essential information for groundwater resource management and pollution prevention, and their design directly affects the representativeness of monitoring data and the reliability of management decisions. Traditional monitoring network design approaches based primarily on expert experience and technical specifications can no longer satisfy the increasing demand for refined groundwater management. Consequently, groundwater monitoring network optimization has become an important research topic in hydrogeology and environmental sciences. In recent years, statistics, geostatistics, optimization theory, numerical simulation, and artificial intelligence have provided a wide range of methods for groundwater monitoring network optimization. However, existing studies have mainly focused on individual algorithms or specific technical approaches, and a systematic methodological classification and comparison remain lacking. Based on a comprehensive review of recent studies, this paper establishes a methodological framework for groundwater monitoring network optimization according to information sources and theoretical foundations. Existing methods are classified into five categories: statistical information-driven, spatial statistics-driven, optimization decision-driven, mechanistic simulation-driven, and intelligent fusion-driven. The fundamental principles, typical applications, applicable conditions, advantages, and limitations of each category are systematically summarized and compared. The development of groundwater monitoring network optimization from network evaluation to optimal design and from single-method applications to integrated methodologies is further discussed. Current research still faces challenges including limited monitoring data, difficulties in multi-source information integration, insufficient uncertainty quantification, and limited interpretability of intelligent models. Future research should emphasize the integration of physical mechanisms with data-driven approaches and promote the application of digital twins, real-time dynamic optimization, and intelligent decision-making technologies to support the design and management of groundwater monitoring networks.
Semi-physical model tests of collapses induced by leakage from fractured underground pipelines in red clay areas under different flow rate conditions
WANG Kai, LI Linwei, XIANG Xiqiong, ZHANG Yong, AN Youhao, AN Tingqi
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250298
Abstract:
Objective

Ground collapse triggered by leakage from fractured underground pipelines frequently occurs in red clay areas worldwide, posing severe threats to urban public safety and causing human casualties and property losses. Physical model tests investigating pipeline-leakage-induced ground collapse have mainly focused on sandy or silty soils in existing studies. Nevertheless, the collapse evolution mechanisms at different pipe flow rates under red clay geological conditions remain insufficiently understood. To fill this research gap, this study carries out targeted physical model experimental research.

Methods

Six groups of semi-structured physical model tests under different pipe flow rate conditions were performed using Guizhou red clay as the test material, with full-section pipeline fracture mode and constant overburden thickness kept unchanged throughout all groups. Multiple monitoring instruments, including high-speed cameras, soil pressure sensors, pore water pressure sensors, and laser displacement sensors, were deployed to continuously record multi-field information. The monitored items covered macroscopic soil deformation and failure patterns, wetting front migration behaviors, coupled responses of soil pressure and pore water pressure, and evolutionary characteristics of ground surface displacement.

Results

Under identical pipeline fracture boundary conditions, the increase or decrease of the pipe flow rate exerted prominent control over the erosion and transport capacity of seepage water. As pipe flow rate decreased, soil erosion rate dropped, the migration mechanism of the wetting front transformed, and the dominant development direction of subsurface soil cavities shifted from horizontal toward vertical. Meanwhile, the critical overburden thickness required for collapse occurrence decreased accordingly. When the pipe flow rate fell below a critical threshold, soil cavities still developed inside the stratum, whereas surface collapse did not take place. Distinct soil arching behaviors were observed among different pipe flow rate groups. No significant soil arching effect occurred under high-flow-rate conditions, while well-developed soil arches formed during cavity expansion in low-flow-rate tests. Surface displacement remained extremely weak before collapse occurred, demonstrating the high concealment and suddenness of this geohazard. For those test groups where collapse finally occurred, the failure mode was characterized by overburden breaching driven by continuous seepage water. In addition, the first response location of pore water pressure sensors varied with the changing direction of wetting front migration.

Conclusion

This study reveals the mechanisms by which pipe flow rate controls cavity evolution, hydro-mechanical coupling responses, and final collapse modes in red clay strata. The findings can provide theoretical support for full-life-cycle safety monitoring of urban underground pipelines, ground-collapse risk early warning, and the formulation of corresponding engineering prevention and control measures.

Analysis and application of rock breakthrough pressure and fracture pressure
GUO Yunxuan, XU Shang, YANG Dong, LIU Bingchang, WANG Sheng, WU Song
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250353
Abstract:
Objective

Rock breakthrough pressure and fracture pressure are two fundamental petrophysical and geomechanical parameters that govern hydrocarbon migration and accumulation, and they also provide important references for evaluating the sealing integrity and safety of caprocks in CO2 geological storage. At present, most existing studies focus on either breakthrough pressure or fracture pressure separately through laboratory experiments and reservoir evaluation. Few publications systematically compare the discrepancies between these two parameters across diverse lithologies or investigate the underlying mechanisms by which they jointly control hydrocarbon migration and accumulation.

Methods

From multidisciplinary perspectives including geology, petrophysics, and rock mechanics, this study integrated laboratory core experimental observations and real-world geological cases from sedimentary basins. It systematically analyzed the available testing techniques for breakthrough pressure and fracture pressure, and compared the distribution characteristics of the two parameters among different rock types. Additionally, this study discussed how the configuration of source-reservoir residual pressure relative to the two critical pressures modulates hydrocarbon transport and accumulation processes.

Results

Experimental datasets showed that ① the relationship between breakthrough pressure and fracture pressure differed significantly among different lithologies. For conventional sandstone reservoirs, breakthrough pressure was far lower than fracture pressure. For tight siltstone reservoirs, no fixed magnitude relationship could be generalized between the two parameters. Controlled by nanoscale pore-throat systems and mechanical anisotropy, mudstone and shale commonly exhibited higher breakthrough pressure than fracture pressure. For instance, measured breakthrough pressure ranges of mudstone and shale were 1.22-30.72 MPa and 12.00-68.00 MPa, respectively, while their corresponding fracture pressures fell within 9.83-13.27 MPa and 24.63-39.54 MPa. ② The relative magnitudes of source–reservoir residual pressure, breakthrough pressure, and fracture pressure determined hydrocarbon migration patterns. Hydrocarbon migration could hardly occur when residual pressure was below both thresholds. Hydrocarbons migrated through steady pore-dominated seepage if residual pressure was between breakthrough pressure and fracture pressure. Once residual pressure exceeded fracture pressure but remained below breakthrough pressure, hydrocarbons migrated rapidly along newly generated hydraulic fractures. When residual pressure surpassed both values, pores and fractures jointly constituted the hydrocarbon migration pathways. ③ Basin-scale hydrocarbon migration and accumulation could be divided into two modes: steady-state continuous migration and non-steady-state episodic migration. Under the steady-state mode, hydrocarbons underwent persistent percolation via interconnected pore-fracture networks, which was prevalent in conventional reservoirs and the early-charging stage of tight reservoirs. By contrast, episodic migration occurred within overpressured systems, where hydrocarbons were rapidly charged and accumulated through periodically activated hydraulic fractures.

Conclusion

This study provides theoretical support for understanding hydrocarbon migration patterns and accumulation-enrichment mechanisms in conventional and unconventional reservoirs and for evaluating caprock risks in CO2 geological storage.

Strength degradation characteristics of slip zone soil under different water contents and their effects on stability of Yahuokou landslide in Zhouqu County, Gansu Province
ZHANG Zhenyuan, LI Jinqiu, ZHANG Yongshuang, REN Sanshao, WANG Zhenxing, SUN Jianshi, GONG Jingxin, WANG Caixia
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250207
Abstract:
Objective

The Yahuokou landslide in Zhouqu County, Gansu Province, is a typical large creeping landslide distributed along the Bailong River Fault Zone. Heavy rainfall in 2019 triggered large-scale sliding, causing major economic losses. Similar carbonaceous slate landslides are widely developed in this area. However, previous studies have mainly focused on macroscopic surface deformation monitoring of local landslides, lacking quantitative ring shear tests on strength degradation of slip zone soil under different water contents. In addition, the control mechanism of through-going tensile fractures on rainfall infiltration and slip zone softening remains unclear, and the zoned evolution of landslide instability has not been verified numerically. This restricts the formulation of refined landslide prevention and control schemes. This study aims to clarify the instability mechanism of Yahuokou landslide.

Methods

Integrated UAV photogrammetry and field zoned detailed geological surveys were carried out. Argillized carbonaceous slate slip zone soil sampled from the rear edge of the landslide was subjected to multiple long-distance ring shear tests, with four water contents (9%, 12%, 15%, and 18% saturated) and three normal stress levels (100, 200, and 400 kPa). After shearing, three-dimensional laser scanning and scanning electron microscopy (SEM) were used to quantitatively calculate the root-mean-square relative roughness Z2 and observe the micro-morphology of shear surfaces. Based on FLAC3D, two numerical models with and without fractures were established. Three rainfall scenarios (light, moderate, heavy) were set, and 17 monitoring points were arranged to track the time-series evolution of saturation, pore water pressure, and slope displacement.

Results

Field investigation showed that the landslide was in a long-term creep state, with severe deformation occurring in the rear source zone. The exposed carbonaceous slate slip zone soil had a clay particle content of 26.4% and a hydrophilic clay mineral content of approximately 52%, indicating high water sensitivity. Under long-distance shearing, the soil exhibited significant strain-softening characteristics, with a maximum softening ratio of 57.2%. When water content increased from 9% to saturated state, the overall shear strength decreased by 45.49%, and the maximum decrease in shear surface roughness Z2 was 0.24. Clay minerals formed face-to-face aggregative orientation layers on shear surfaces, developing a lubricating structure. The Z2 value was strongly positively correlated with the residual friction coefficient, with a Pearson correlation coefficient of 0.87. Increasing water content reduced interface friction through the "polishing effect". Numerical simulation results showed that the landslide remained basically stable under natural conditions. Through-going fractures greatly shortened the saturation duration of slip zones. Slope deformation exhibited a time lag of 3-13.8 h behind the rise of slip zone saturation. The overall deformation exhibited characteristics of initiation in the source zone followed by progressive transmission. The Yahuokou landslide showed an overall "front-pull and rear-push" failure mode. The strong water sensitivity of argillized carbonaceous slate slip zone soil was the internal controlling factor, seasonal heavy rainfall was the external triggering condition, and through-going fractures served as preferential infiltration channels to accelerate soil softening.

Conclusion

This study quantitatively elucidates the mesoscale mechanism of water-induced strength degradation of carbonaceous slate slip zone soil and clarifies the mechanism of fracture-controlled seepage-induced instability. Zoned differentiated prevention and control measures are recommended, with priority given to sealing slope surface tensile fractures and combining drainage engineering with anti-slide support. These findings provide a theoretical basis for disaster prevention of similar creeping landslides in the Bailong River Basin.

Research progress and trend analysis of groundwater age based on bibliometrics
XIE Yuxi, LI Jie, FEI Shuchen, MA Chenhao, ZUO Rui
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250260
Abstract:
Significance

Groundwater age contains critical information about groundwater circulation and evolutionary processes, which is an important hydrogeological parameter. A systematic bibliometric analysis of 1 804 papers published from 1975 to 2024 related to groundwater age with tracers is conducted to summarize the current research status and analyze development trends.

Progress

The results reveal that the number of publications in this field has exhibited an overall exponential upward trend, with the United States, China, and Germany contributing the most publications. Keyword co-occurrence network analysis identifies three key research themes: groundwater quantity, paleoclimate, and groundwater quality. Temporal trends show relatively balanced development across these three themes from 1990 to 2001. During the period from 2002 to 2013, driven by social demand, research placed greater emphasis on groundwater quantity for groundwater resource management. During 2014 to 2024, driven by technological breakthroughs, research focus shifted toward paleoclimate studies to address climate change challenges.

Conclusion and Prospect

Over the past two decades, breakthroughs in atom trap trace analysis (ATTA) technology have enabled the application of long-lived radioactive noble gas isotopes, creating new opportunities for constructing continuous groundwater chronology sequences spanning 1.3 million years. Important development trends in groundwater chronology include, but are not limited to, improvement of single-tracer age correction models, multi-tracer combination approaches, and coupling with groundwater numerical models. These advancements contribute to enhancing the precision and accuracy of groundwater age dating, providing theoretical support and technical guidance for groundwater resource management and climate change adaptation.

Experimental study on microplastic transport in heterogeneous porous media
XIE Jinchi, MA Enze, LIANG Xiuyu, ZHENG Chunmiao
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250371
Abstract:
Objective

As an emerging class of contaminants, microplastics have been widely detected in soil and groundwater. Based on their origin, they can be classified into primary or secondary microplastics, and their loads in terrestrial systems may be 2–23 times those in the oceans. Groundwater serves as the drinking water source for approximately 50% of the global population and supplies 43% of agricultural irrigation water. Therefore, groundwater contamination by microplastics has become an increasing concern. Microplastics can enter groundwater systems through wastewater irrigation, landfill leachate infiltration, atmospheric wet and dry deposition, and surface water–groundwater exchange. However, their transport mechanisms in heterogeneous porous media remain unclear, which limits the prediction of their environmental behaviors and risk assessment.

Methods

In this study, laboratory sand-column experiments were conducted to systematically investigate the transport characteristics of fluorescent polystyrene microplastics (200 and 800 nm) in three typical porous media: homogeneous coarse sand (particle size range: 1.18–1.40 mm), homogeneous fine sand (particle size range: 0.12–0.13 mm), and a concentric heterogeneous structure (coarse sand in the center and fine sand at the periphery). Different conditions were set, including pH values (5, 7, 9), flow rates (0.5, 1.0 mL/min), and microplastic particle sizes (200, 800 nm), to observe their breakthrough behaviors. After injecting 3 pore volumes (PVs) of the microplastic suspension into the columns pre-equilibrated with a 0.01 mol/L NaCl background solution, the columns were flushed with 5 PVs of the background solution. The effluent was collected and its fluorescence intensity was measured to construct breakthrough curves, and the columns were subsequently divided into 10 segments to quantify the retained microplastics and establish retention profiles. Batch adsorption experiments and zeta-potential measurements were also performed to characterize the surface properties of the sands and microplastics.

Results

Heterogeneous media significantly altered the transport paths and retention distribution of microplastics. The breakthrough curves exhibited a typical bimodal pattern, reflecting the coexistence of preferential flow (in coarse sand regions) and retention zones (in fine-sand regions). The mobility of microplastics increased with increasing pH and flow rate. For example, in fine sand, the breakthrough rates were 103.17%, 87.06%, and 19.98% at pH 9, 7, and 5, respectively. In coarse sand, they increased from 69.30% to 95.87% as the flow rate increased from 0.5 to 1.0 mL/min. Meanwhile, the transport capacity of 200 nm particles was significantly greater than that of 800 nm particles, with breakthrough rates of 96.20% versus 69.30% in coarse sand and 75.61% versus 67.22% in the heterogeneous medium. The underlying mechanisms are as follows. Increased pH and decreased particle size promote transport by enhancing the electrostatic repulsion between microplastics and the medium surface and by weakening physical clogging, respectively, whereas higher flow rates increase the hydrodynamic force on microplastics, thereby reducing their adsorption capacity onto the medium surface.

Conclusion

This study reveals that the bimodal transport pattern of microplastics in heterogeneous media is dominated by the "fast–slow" dual-domain flow structure. It also clarifies the key regulatory roles of environmental factors such as pH, hydrodynamic conditions, and particle size. These findings provide experimental evidence for the behavior simulation and risk control of microplastic pollution in subsurface environments.

Characterization of hydraulic-fracturing-induced fractures in tight sandstone of Shaximiao Formation using multi-scale microseismic monitoring
DING Jiaming, GONG Haolin, ZHAO Xueqin, HE Yujiang, AN Yujie, HE Daxiang, YANG Rongyi
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250345
Abstract:
Objective

The Jurassic Shaximiao Formation in the Sichuan Basin represents a critical tight sandstone target for both tight gas production and enhanced geothermal system (EGS) exploitation. Strong reservoir heterogeneity complicates the characterization of hydraulic fracture evolution, restricting the optimization of fracturing treatments and the joint development of tight gas and geothermal energy. This study aims to characterize multi-scale fracture behaviors and reveal the underlying rock-rupture mechanisms of tight sandstone during hydraulic stimulation, providing theoretical support for reservoir stimulation and production enhancement in heterogeneous tight reservoirs.

Methods

Large-scale true-triaxial hydraulic fracturing experiments were performed on two groups of tight sandstone specimens (samples α and β). Acoustic emission (AE) signals were recorded to capture microcrack activity at laboratory scale. Field monitoring data collected from six drilling platforms and 12 wells within the study area were analyzed. Laboratory AE responses were integrated with the spatiotemporal distributions of field multi-scale microseismic events to characterize fracture propagation under coupled geological and mechanical controls.

Results

① The complexity of pre-existing natural fractures exerted a dominant control on rock-rupture behaviors. Under true-triaxial confining stress conditions, natural fractures acted as mechanical weak planes and produced localized stress concentrations at fracture tips. Pore pressure generated by hydraulic fracturing reduced the normal stress on fracture planes and activated natural fractures. Pore pressure was transmitted along the fracture planes and continuously accumulated at fracture tips. Once the local pressure exceeded the critical rupture threshold, the fractures propagated forward and generated detectable AE signals. ② Final fracture geometry was jointly governed by the interactions between pre-existing natural fractures and artificially induced hydraulic fracture networks. Where natural fractures were poorly developed, induced hydraulic fractures prevailed and formed complex multi-scale coupled fracture systems. The strike and distribution of subaqueous distributary-channel sand bodies determined the initial orientation of fracture propagation. Fractures preferentially extended along the orientation of sand-body deposition. Thick sand bodies with favorable reservoir properties promoted fracture initiation and propagation, yielding planar fracture patterns closely associated with sedimentary facies distributions. ③ Porosity was a vital parameter controlling fracturing responses. The Shaximiao Formation comprised typical low-porosity and low-permeability reservoirs. Its low matrix permeability increased the difficulty of triggering microseismic events. Rock anisotropy significantly influenced the initiation pressure, AE responses, and the geometric configuration of hydraulic microfracture networks. Intervals with low brittleness index produced sparse microseismic events and poor stimulation performance. By contrast, intervals with favorable logging interpretations showed dense microseismic clusters and effective reservoir stimulation. Reservoirs with higher porosity required larger volumes of fracturing fluid. Porosity, brittleness index, and in-situ stress-difference coefficient were mutually coupled and jointly controlled fracture complexity and stimulated reservoir volume (SRV).

Conclusion

Fracture development within the Shaximiao Formation tight sandstone is governed by a multi-factor coupling mechanism. The interactions among natural and hydraulic fractures, spatial restrictions imposed by sedimentary facies (sand-body distribution), geostress conditions, and intrinsic reservoir properties (low porosity and permeability, brittleness index, rock anisotropy) collectively generate heterogeneous multi-scale fracture networks. Fracture generation follows a mixed tension-shear rupture mode, jointly controlled by geological factors (brittle-mineral fraction, bedding-induced anisotropy) and mechanical factors (in-situ stress contrast and pore-pressure accumulation). The integration of laboratory physical simulation and field microseismic monitoring provides an effective approach for elucidating fracture evolution in highly heterogeneous tight sandstone reservoirs.

Direct shear mechanical properties and discrete element numerical simulation of saline soil stabilized with ionic additives and inorganic materials
FENG Ye, ZHANG Xinghua, CHANG Dan
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250256
Abstract:
Objective

Saline soil widely distributed in Northwest China suffers from unfavorable geotechnical behaviors including collapsibility, salt heaving, and corrosivity, which can easily induce deformation and failure of subgrade and foundation infrastructures. Conventional inorganic stabilization using lime–fly ash tends to cause relatively high environmental burdens. Moreover, the mesoscopic failure mechanisms of saline soil improved by ionic soil stabilizer (ISS) combined with inorganic binders remain poorly understood. This study aims to explore cost-effective and environmentally friendly composite stabilization techniques and clarify the macro-meso mechanical response mechanisms of stabilized saline soil under shear loading. The findings are of great theoretical and practical significance for saline soil engineering in seasonally frozen regions.

Methods

In this study, subsulfate saline soil sampled from Yongdeng, Gansu Province was stabilized by the combined addition of ISS, lime, and fly ash. Four ISS contents (0%, 3%, 6%, and 9% by mass of dry soil) were designed for specimen preparation. Laboratory direct shear tests were performed under normal stresses of 50 kPa, 100 kPa, and 150 kPa to analyze the macroscopic shear mechanical properties of stabilized specimens. The three-dimensional discrete element software PFC3D was adopted to establish numerical specimens. A linear parallel-bonded contact model was utilized, and mesoscopic input parameters were calibrated against laboratory test curves to reproduce real-world shear responses. The evolution patterns of particle displacement and contact force chains during shearing were revealed at the mesoscopic scale, and the progressive breakage of cementation bonds during shearing was quantitatively monitored.

Results

The test results demonstrated that ISS addition remarkably improved the shear resistance of lime–fly ash stabilized saline soil. All specimens exhibited typical brittle failure characteristics. The shear strength of stabilized soil rose first and then declined with increasing ISS content, reaching its peak at an ISS content of 6%. Excessive ISS addition above this threshold induced strength degradation. Cohesion also followed a similar trend of initial increase followed by decrease. Discrete element simulation results indicated that the internal contact force chains of specimens underwent reconstruction during shearing, and cementation bonds near the shear plane broke progressively as shear displacement accumulated. The evolution of the mesoscopic damage factor was divided into three successive phases: stable development, exponential growth, and gradual stabilization.

Conclusion

ISS affects the strength of stabilized saline soil by altering the thickness of water films on soil particle surfaces and regulating the coverage degree of hydration products. A mesoscopic damage factor formula considering cementation bond breakage is proposed according to the ratio of broken bonds to initial total bonds. This formula can well characterize the shear-induced damage evolution of ISS–lime–fly ash stabilized saline soil. This study deepens the understanding of macro-meso coupling mechanisms for composite-stabilized saline soil and offers reference data for the practical application of ISS–inorganic combined stabilization in saline soil sites.

Semantic-Enhanced Rete Algorithm for Geological Data Quality Inspection Rule Engine
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605029
Abstract:
【Objective】Geological data are characterized by multi-source heterogeneity, complex semantics, strong spatial correlation and intensive professional rules, which serve as the fundamental support for national energy and resource security, ecological civilization construction, disaster prevention and mitigation, and other undertakings. At present, data are no longer merely a by-product of geological surveys but have evolved into core assets. It is particularly important to establish a scientific, rigorous and efficient data quality management system to guarantee the authenticity, accuracy, integrity and timeliness of geological survey data. Current geological data quality inspection mainly relies on fixed scripts and sampling inspection, which can hardly cope with the semantic heterogeneity and complex logical constraints of multi-source heterogeneous data. Although the classic Rete algorithm features high efficiency, it is limited to exact character matching and cannot recognize synonyms of geological terms, fuzzy descriptions or unstructured texts.【Methods】This paper proposes a geological data quality inspection rule engine based on the semantically enhanced Rete algorithm. By optimizing the classic Rete algorithm with node sharing, pre-data filtering and dynamic semantic nodes, a semantic enhanced reasoning network oriented to geological scenarios is constructed. A complete reasoning process covering semantic matching, rule activation, conflict resolution and rule execution is realized.【Results】Compared with the traditional rule engine, the proposed method achieves improvements in both recognition accuracy and recall rate, with the F1-score reaching 0.88, which verifies its superior capability in geological data quality inspection.【Conclusion】The rule engine realizes the decoupling of business logic and quality inspection rules, and significantly improves rule configurability and system maintainability. It provides an effective new technical approach for intelligent quality control of geological data, and is of great significance for promoting the high-quality development of geological informatization and strengthening the supporting capacity of geological data.
Research and Application of the Rainfall Intensity-Duration-Hazard Formative Environment (I-D-H) Early Warning Model for Clustered Landslides
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605044
Abstract:
[Objective] Rainfall-induced clustered landslides are characterized by small volumes, rapid onset, and large quantities. Traditional early warning models based on rainfall thresholds frequently neglect the variations in hazard-formative environments, leading to high rates of missed and false alarms, which underscores the urgent need to develop a more precise early warning model. [Methods] Based on historical data of rainfall-induced clustered landslides in Guangxi, a comprehensive hazard-formative environment factor (H) characterizing the susceptibility of geological-topographical conditions was extracted, and a three-dimensional early warning framework coupling rainfall intensity, duration, and the hazard-formative environment (I-D-H model) was proposed. On this basis, high-resolution environmental raster data of Beiliu City and recent landslide samples were integrated for localized parameter optimization to construct a refined I-D-H model perfectly tailored to the local hazard-formative background. A multi-scale application and validation was subsequently conducted utilizing the "June 9" extreme rainstorm event. [Results] At the regional scale, the proposed model accurately captures the differential impacts of the hazard-formative environment, improving the accuracy of yellow and higher-level warnings from 87% to 94% with zero missed alarms. At the site-specific scale, the model accurately identifies the red warning level for unstable slopes several hours in advance, effectively avoiding false alarms for adjacent stable slopes. Quantitatively, the Area Under the Curve (AUC) value reaches 0.829, demonstrating a predictive performance significantly superior to that of the conventional two-dimensional I-D model. [Conclusion] By dynamically adjusting critical rainfall thresholds, this model achieves a methodological leap in landslide early warning from regional macroscopic guidance to localized refined characterization, providing reliable technical support for the precise "site-to-regional" prevention and control of clustered landslide hazards.
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605065
Abstract:
s: 【Objective】 Electrical Resistivity Tomography (ERT) enables non-destructive acquisition of internal resistivity distribution in dam bodies, yet traditional manual interpretation suffers from low efficiency and high subjectivity. 【Methods】 A multimodal data augmentation strategy was constructed using techniques such as geometric transformation, Mosaic augmentation, and local occlusion, expanding the original 813 images to 2, 000 images and effectively mitigating the risk of overfitting. The ASF multi-scale fusion module and MCAttn dynamic attention mechanism were introduced into the YOLOv8 neck network, enhancing the model’s ability to resolve multi-scale features and fuzzy boundaries of leakage areas through cross-layer feature interaction and adaptive weight allocation. A multi-task joint optimization framework integrating VFL classification loss, DFL distribution focal loss, and an improved CIoU geometric loss was designed to achieve task alignment between classification confidence and localization accuracy. 【Results】 The results show that the improved model achieves a mean average precision (mAP@0.5) of 77.0%, which is 5.6% higher than that of the original YOLOv8, along with an 8.0% increase in recall and an inference speed of 42.4 FPS. The algorithm was applied to leakage detection projects at Maoshan earth-rockfill dam and Fengcheng geomembrane core-wall dam, where the segmentation results exhibited over 95% spatial overlap with manual interpretation. 【Conclusion】 This verifies the effectiveness and robustness of the proposed model in practical engineering, providing a new intelligent technical approach for dam leakage identification based on high-density electrical method.
Shale Lithofacies Characteristics and Distribution Patterns of High-Quality Lithofacies under Astronomical Cycle Constraints: A Case Study of the Second Member of the Kongdian Formation in the Cangdong Sag
, Available online  , doi: 10.19509j.cnki.dzkq.tb202606061
Abstract:
【Objective】The lacustrine shale of the second member of the Kongdian Formation (Ek₂) in the Cangdong Sag, Bohai Bay Basin, is characterized by complex lithofacies types and strong heterogeneity, and the distribution patterns of high-quality lithofacies and shale oil sweet spots remain unclear. To improve the accuracy of lithofacies identification and the reliability of sweet-spot prediction in lacustrine fine-grained deposits, this study uses data from Well Guan 108-8 and surrounding wells to investigate shale lithofacies assemblages and the distribution of high-quality lithofacies under astronomical-cycle constraints. 【Methods】Core observations, thin-section identification, X-ray diffraction (XRD), X-ray fluorescence (XRF), well-log data, and organic geochemical data were integrated. The natural gamma-ray log was selected for cyclostratigraphic analysis to establish a high-resolution isochronous stratigraphic framework. A random forest algorithm was applied to predict mineral compositions and quantitatively identify lithofacies. In addition, reservoir quality, oil-bearing property, oil mobility, and fracability were jointly considered to evaluate favorable shale oil sweet-spot intervals and areas. 【Results】The results show that the Ek₂ shale records relatively stable astronomical signals, including the 405-kyr long eccentricity, ca. 100-kyr short eccentricity, ca. 38-kyr obliquity, and ca. 18-kyr precession cycles. The optimal sedimentation rate is 17.2 cm/kyr, and the target interval can be divided into six fourth-order sequences and 25 fifth-order sequences. Based on ternary mineral classification, three major lithofacies types and nine subtypes were identified, including felsic shale, mixed shale, and calcareous-dolomitic shale. Taking the ca. 38-kyr obliquity cycle as the basic division unit, three types of lithofacies assemblages were further recognized: laminated mixed–calcareous-dolomitic shale assemblage, laminated mixed–felsic shale assemblage, and laminated mixed–felsic–calcareous-dolomitic shale assemblage. The short-eccentricity cycle regulated the alternation between warm-humid and relatively dry-cold climatic conditions, thereby affecting terrigenous input, lake-water chemistry, and organic matter enrichment. During short-eccentricity maxima, terrigenous clastic and organic matter input increased, B-type and C-type lithofacies assemblages were well developed, and TOC and S1 contents were relatively high. In contrast, during short-eccentricity minima, carbonate precipitation was enhanced, and A-type lithofacies assemblages became dominant. The sweet-spot intervals mainly developed from the middle to late stage of the expanding systems tract to the early stage of the highstand systems tract. They are mainly hosted by organic-rich felsic shale and mixed shale, with a single sweet-spot interval reaching a thickness of up to 12.7 m. 【Conclusion】The formation and distribution of high-quality shale in the Ek₂ of the Cangdong Sag were jointly controlled by short-eccentricity-scale climatic cycles, lithofacies assemblage types, and tectono-paleogeomorphology. During short-eccentricity maxima, the transition zone from the deep sag to the gentle slope was characterized by moderate terrigenous input, strongly reducing conditions, and relatively high felsic mineral content, making it the most favorable area for the development of organic-rich B- and C-type lithofacies assemblages and Class I–II shale oil sweet spots. This understanding provides a refined geological basis, constrained by astronomical cycles, for shale oil sweet-spot prediction and favorable area selection in continental lacustrine basins.
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, Available online  , doi: 10.5555/poc.20260830.005
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, Available online  , doi: 10.5555/poc.20260830.001
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A Study on the mechanisms, prediction, and pressure influence of bedding fractures in deep shale
KOU dongqin, YIN Shuai, LIANG Chen, WANG Ruyue
, Available online  , doi: 10.19509j.cnki.dzkq.tb202607014
Abstract:
The degree of bedding fracture development in shale oil reservoirs directly affects reservoir storage capacity and fluid flow capability. However, the genetic mechanisms of these fractures remain poorly understood, and their relationships with formation pressure and productioninduced pressure drawdown are unclear, hampering the optimization of sweetspot identification and development strategies. In this study, using welllog data and core observations from multiple overpressured horizontal wells in a faulted lacustrine basin in eastern China, we apply the ΔlgR method to estimate total organic carbon (TOC) content, employ R/S rescaled range analysis to compute second derivatives of logging parameters for enhancing fracture responses, establish a prediction index Q for bedding fracture density, and adopt the organicmattercorrected Eaton method to derive the formation pressure coefficient. The influence of bedding fractures on formation pressure and production drawdown is also examined. The results show that: (1) Sensitivity analysis identifies gamma ray (GR), acoustic transit time (AC), compensated neutron (CNL), density (DEN), resistivity (RT), and TOC as sensitive parameters. The predicted index Q correlates well with coreobserved bedding fracture density, yielding an average match rate of 80%. (2) Bedding fracture development is predominantly controlled by hydrocarbongeneration overpressure, with lamina interfaces serving as natural mechanical weak planes, and is jointly governed by lithology, organic matter content, and lamina texture. (3) Bedding fracture density is positively correlated with the formation pressure coefficient; when the density exceeds 15 fractures/m, the pressure coefficient is generally above 1.4 and its increase tends to level off. (4) Under comparable fracturing and production conditions, areas with high bedding fracture density exhibit a relatively low pressure decline rate at the early development stage, whereas areas with low density show a more rapid pressure drop. (5) Highdensity areas not only develop complex hydraulic fracture networks but also provide more favorable conditions for proppant placement, enhancing the fracture system's resistance to closure under confining pressure and thereby effectively retarding reservoir energy depletion.
WANG Jiangsi, , GAN Haonan
, Available online  , doi: 10.19509j.cnki.dzkq.tb202607024
Abstract:
Medium–high temperature geothermal systems with high fluoride contents are widely hosted in the Yingzhou–Xincun area of Lingshui, southeastern Hainan Island. However, the genetic mechanism of negative coupling between fluoride and salinity remains unclear, which restricts the refined exploitation of regional geothermal resources. In this study, multiple approaches including hydrochemical analysis, isotopic tracing and hydrogeochemical modelling were integrated to systematically investigate the genesis and spatial distribution of geothermal fluids from three geothermal fields in the study area. The main results are summarized as follows: (1) The geothermal system in the study area is a fractured granite geothermal reservoir developed in Mesozoic granites and controlled by the deep Jiusuo–Lingshui Fault. Geothermal fluids are recharged by meteoric precipitation from low hills in the northern part, with recharge elevations of 989–1128 m, groundwater residence ages of 3519-13304a, and reservoir temperatures ranging from 130 to 165°C. Reservoir temperatures exhibit a spatial pattern of higher values inland and lower values near the coast.(2) The maximum total dissolved solids (TDS) of geothermal water reaches 2600 mg/L, and the high salinity is not derived from modern seawater intrusion; TDS increases gradually from inland to coastal zones. Salinity is jointly controlled by deeply sequestered paleo-marine fluids and secondary soluble salts produced by silicate mineral leaching of granites. Cation exchange reactions further enhance the spatial differentiation of groundwater salinization.(3) Fluoride (F-) concentrations in geothermal water range from 2.6 to 12.8 mg/L, showing a decreasing trend from inland to coast. Calcium ion activity is the dominant factor controlling fluoride enrichment, bicarbonate (HCO₃-) acts as a secondary factor, and temperature exerts a synergistic promoting effect. Mixing of Ca-rich paleo-marine fluids triggers fluorite precipitation, which is the critical factor leading to low fluoride concentrations in coastal areas. This process ultimately results in significant negative coupling between F⁻ and TDS/Cl⁻ across the entire study area.(4) Combined with pumping test data and reservoir temperature calculation results, the study area is classified into high-temperature zones for geothermal power generation (Gaofeng and Hongxie) and medium-temperature zones for comprehensive geothermal utilization (Xincun). A zonal differentiated exploitation strategy and corresponding engineering protection schemes are proposed in view of the special hydrochemical characteristics of high fluoride, high salinity and high calcium.This study clarifies the hydrogeochemical mechanism responsible for negative fluoride–salinity coupling in coastal granite geothermal systems, fills the research gap of coastal granite geothermal systems on Hainan Island, and provides theoretical support for the sustainable exploitation of high-fluoride and high-salinity geothermal resources along coastal South China.
Experimental study on deformation and failure process of No. 1 landslide in Machi Village under rainfall conditions in mountainous area of western Hubei
WANG Yun, CHEN Feifei, SHEN Yanshen, YANG Tao, CHEN Mengyuan, LI Xi, ZHANG Guangcheng
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250271
Abstract:
Objective

Large-scale colluvial landslides are widely distributed in mountainous areas of western Hubei, and slope deformation evolution is closely coupled with the spatiotemporal distribution of rainfall. Existing related studies mostly focus on single rainfall intensity or short-term monitoring data, lacking systematic comparative research on different rainfall peak patterns and quantitative sensitivity differentiation of multi-geomechanical parameters. This study aims to reveal the response patterns of colluvial slope deformation and evolutionary process under four typical rainfall patterns, and quantitatively identify the sensitivity ranking of various influencing factors to landslide stability.

Methods

Taking No. 1 colluvial landslide in Machi Village of Shiyan City as the research prototype, a geometrically scaled indoor physical model was established based on similarity theory. Four rainfall scenarios (early-peak, mid-peak, flat-peak, and late-peak rainfall) were set up to reproduce the full deformation and failure process of the landslide. On the basis of model test data, orthogonal design combined with analysis of variance (ANOVA) was adopted to distinguish the dominant controlling factors of slope stability.

Results

The results showed that: ① The influence of the four rainfall patterns on pore water pressure in the landslide soil was mainly reflected in the timing of the peak pore water pressure, which varied with the position of the rainfall peak. The earlier the rainfall peak occurred, the earlier the peak pore water pressure appeared. Moreover, the late-peak rainfall pattern induced a relatively larger failure zone and exhibited a stronger disaster-causing effect. ② Under different rainfall patterns, the slope model began to deform primarily from the middle section, first undergoing creep deformation, followed by step-like deformation, and eventually complete failure. ③ ANOVA based on orthogonal tests indicated that the sensitivity of factors affecting the overall stability of the No. 1 landslide in Machi Village decreased in the following order: internal friction angle (φ) > cohesion (c) > cumulative rainfall (T) > permeability coefficient (Ks) > unit weight of slip zone soil (γ) > rainfall pattern (Q). The cohesion (c) and internal friction angle (φ) of the slip zone soil are the key shear strength parameters for evaluating landslide stability. ④ For the local front edge of the landslide, the permeability coefficient (Ks) was an important factor affecting stability, whereas for the overall landslide, cumulative rainfall (T) played a more critical role.

Conclusion

The No. 1 landslide in Machi Village is a typical rainfall-induced retrogressive landslide, and late-peak rainfall has the strongest disaster-causing effect. The integrated research framework combining physical model observation, deformation evolution analysis, and multi-factor ANOVA sensitivity quantification proposed in this study has high accuracy and practicability. The research findings can provide theoretical support for deformation monitoring and emergency response of similar colluvial landslides in the mountainous areas of western Hubei.

Fluid evolution and hydrocarbon accumulation mechanisms of Cambrian-Sinian source-reservoir system in Well Qitan-1, Tarim Basin
CHEN Xiao, HUANG Yahao, ZHAO Haitao, WANG Ruyue, HE Zhiliang, DENG Xingliang, ZHANG Yanyan, WEN Zhigang, XU Yaohui, NING Yuning
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250304
Abstract:
Objective

Deep-to-ultra-deep hydrocarbon reservoirs are characterized by long-term fluid evolution histories and complex hydrocarbon accumulation mechanisms. The Tarim Basin is a typical exploration target for deep-to-ultra-deep hydrocarbons in China. However, only a small number of boreholes have penetrated the Lower Paleozoic Sinian-Cambrian source rocks and reservoirs. At present, direct isotopic chronological constraints on the complete source-to-reservoir fluid evolution and hydrocarbon charging processes remain scarce, which restricts the in-depth understanding of hydrocarbon accumulation mechanisms at depths of 10 000 m within the Tarim Basin.

Methods

This study focused on fracture- and vug-filling vein minerals in core samples from the Cambrian Yuertusi Formation (source rock) and the Sinian Qigebulake Formation (reservoir) of Well Qitan-1 (QT-1). The fluid sources and genesis of multiple generations of veins were identified. Multiple analytical approaches were integrated, including petrographic observation of fluid inclusions, micro-in-situ U-Pb dating of carbonate veins, Re-Os isotopic dating of solid bitumen, REE-Sr isotopic geochemistry, fluid inclusion microthermometry, and basin burial-thermal-history modelling, to reconstruct the dynamic hydrocarbon accumulation sequence of deep source-reservoir systems.

Results

Two generations of fracture-filling calcite veins were developed in the Cambrian Yuertusi Formation source rocks of northern Tarim. REE and Sr-isotopic signatures indicated that both calcite veins were of hydrothermal origin, precipitated from deep Sr-rich fluid systems. Correspondingly, two generations of pore-filling dolomite veins occurred in the Sinian Qigebulake Formation reservoir. Geochemical proxies indicated that these dolomite veins precipitated from formation diagenetic fluids, and the Sr-isotopic compositions of the second-generation dolomite veins recorded fluid mixing with contemporaneous Cambrian seawater. The first-generation calcite vein in the source rocks (466 ± 5 Ma) and the first-generation dolomite vein in the reservoirs (460 ± 10 Ma) crystallized during the Middle Ordovician. These early-formed veins were later modified by hydrocarbon charging and trapped oil inclusions, which recorded the primary oil-charge event during the Permian (Hercynian), indicating good source-reservoir matching. Burial-thermal modelling revealed that the Yuertusi Formation source rocks reached the oil-generation threshold in the Carboniferous. Both the second-generation calcite vein in the source rocks (263 ± 69 Ma) and second-generation dolomite vein in the reservoirs (55 ± 15 Ma) contained abundant oil inclusions. Constrained by burial-history simulation, the large-scale secondary hydrocarbon charging event took place in the Miocene, showing good spatiotemporal coupling between hydrocarbon generation and accumulation. A large amount of solid residual bitumen occurring after the second-generation dolomite veins in the reservoirs yielded a Re-Os age of 30 ± 14 Ma, documenting the destruction and readjustment of Sinian paleo-hydrocarbon reservoirs in the early Oligocene driven by Himalayan tectonic uplift.

Conclusion

This study conducts systematic isotopic-chronology and fluid evolution analyses for deep source-reservoir intervals in the Tarim Basin. It provides direct experimental evidence for reconstructing the whole process of hydrocarbon generation, expulsion, accumulation, and preservation within the Lower Paleozoic Sinian-Cambrian source-reservoir system.

Genesis of low geothermal field in Tarim Basin and differential mechanisms across various zones
ZHU Sen, LIU Fangkai, TAN Qingwen, ZHU Guangyou
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250319
Abstract:
Significance

As a typical cratonic "cold basin" in China, the Tarim Basin contains abundant ultra-deep hydrocarbon resources. Its low geothermal field exerts fundamental constraints on source-rock thermal maturation, hydrocarbon phase preservation, and hydrocarbon accumulation processes. Clarifying the formation mechanisms of the basin's low geothermal field and the main controlling mechanisms of geothermal differences across tectonic zones is of great theoretical and practical significance for ultra-deep hydrocarbon exploration.

Progress

This study systematically compiles and synthesizes published borehole temperature measurements, rock thermophysical parameters, tectono-thermal evolution results, and relevant geothermal literature. By means of comparative analysis and inductive analysis, it reviews the spatial distribution characteristics of present-day geothermal fields, reconstructs regional thermal evolutionary history, and synthesizes the genetic mechanisms for the low-temperature background. Additionally, it distinguishes the main controlling factors of geothermal differences across various tectonic units and further summarizes the constraining effects of low geothermal conditions on deep hydrocarbon accumulation. The results show that the present-day geothermal field exhibits a planar distribution pattern characterized by higher values in uplift zones and lower values in depression zones, with an average geothermal gradient of 18–21 °C/km and terrestrial heat flow values of 35–45 mW/m2. Vertically, geothermal gradients gradually decrease with increasing burial depth. Deep carbonate intervals have gradients of approximately 14 °C/km, distinctly lower than those of the shallow clastic sequences (approximately 22 °C/km). Since the Sinian, the basin has experienced long-term regional thermal decay, interrupted by a short-lived geothermal pulse triggered by Permian magmatic events. Thereafter, geothermal gradients gradually declined and stabilized at roughly 20 °C/km from the Mesozoic onward. The low-temperature geothermal background is controlled by the coupled effects of lithospheric thermal architecture, deep geodynamic processes, and sedimentary cover properties. The “cold-mantle and cold-crust” cratonic lithosphere is the fundamental internal cause. Long-term lithospheric cooling since the Permian and the suppression of heat transport induced by Cenozoic intracontinental compression collectively reinforced the cold thermal setting, and thick sedimentary sequences provided additional thermal-blanketing effects. Geothermal differences are controlled by distinct dominant mechanisms in different tectonic units. Geothermal signatures in the Kuqa Depression are mainly governed by Cenozoic orogenic tectonic activities, while the Tabei Uplift is dominated by basement-topography variations. The coupling of low geothermal gradient and overpressure can broaden the effective hydrocarbon-generation window for source rocks. Liquid hydrocarbons can be stably preserved at burial depths of up to 9000 m, whereas further increases in burial depth will trigger extensive thermal cracking of crude oil into gas.

Conclusion and Prospect

This study systematically clarifies the origin and zonal differential patterns of the low geothermal field, advances the understanding of source-rock thermal maturation and hydrocarbon phase evolution within cratonic ultra-deep settings, and provides critical geothermal references for future deep-to-ultra-deep hydrocarbon exploration in the Tarim Basin.

Two episodes of magmatism and mineralization at Yemaquan Fe-polymetallic deposit, Qinghai Province: Evidence from zircon and garnet U-Pb dating and whole-rock geochemistry
ZHONG Yongsheng, LIU Hongyu, CHEN Chao, LYU Xinbiao, ZHANG Zhongcheng, LIU Yuanlin, ZHANG Delong, HUANG Tianci
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250227
Abstract:
Objective

The Qimantag area in Qinghai Province is located on the southern margin of the Qaidam Basin and belongs to the East Kunlun metallogenic belt. Extensive Late Paleozoic to Mesozoic magmatic activities are developed in this region, producing numerous Fe-Cu-Pb-Zn polymetallic deposits, such as Hutouya, Kaerqueka, and Niukutou. Previous studies have confirmed that most deposits in this belt record two episodes of magmatism and mineralization. The Yemaquan deposit is a typical skarn-type Fe-polymetallic systems in the Qimantag area. Previous studies have focused only on the Late Triassic granite-skarn metallogenic system of this deposit. Triassic magmatism has generally been considered the sole controlling factor for mineralization. The metallogenic potential of Devonian intrusive rocks lacks chronological and geochemical constraints. Whether two independent magmatic-mineralization episodes occurred in the Yemaquan deposit has long remained controversial. To resolve this scientific issue, this study systematically constrains the timing, magma source, and geodynamic setting of two episodes of intrusions and associated skarn mineralization.

Methods

This study focused on the Late Triassic intrusive rocks in the western Yemaquan deposit, the Devonian granodiorite from deep drill cores in the M13 magnetic anomaly zone in the southeast, and garnet from skarn in the contact zone. Field geological mapping and petrographic microscopic identification were conducted. Zircon and garnet LA-ICP-MS U-Pb dating, whole-rock major- and trace-element analysis, and in situ Lu-Hf isotope analysis of zircon were also conducted to systematically constrain the formation ages, magma sources, and tectonic settings of the two episodes of intrusive rocks.

Results

Zircon 206Pb/238U U-Pb dating yielded consistent weighted average ages of 223.4–225.0 Ma (MSWD = 1.7–2.4) for diorite, monzogranite, and K-feldspar granite from the southwestern part of the deposit. The ages were highly consistent with the mica Ar-Ar mineralization age of 222±1.3 Ma from the deposit, constraining the timing of Late Triassic magmatism and associated skarn mineralization. Deep granodiorite samples from the M13 zone yielded zircon ages of 392.0–392.8 Ma, whereas garnet from the skarn yielded a Tera-Wasserburg isochron age of 407.7±5.1 Ma. The two sets of ages were basically consistent within the error range, demonstrating the synchronous development of magmatic activity and Fe-polymetallic mineralization during the Early–Middle Devonian. Geochemical data showed that both intrusive suites belonged to the high-K calc-alkaline series and had crust-mantle mixed magma sources. The primary magmas originated from partial melting of lithospheric mantle and experienced crustal material assimilation during upward migration. The Late Triassic rocks were metaluminous to weakly peraluminous, whereas the Devonian granodiorite underwent intense hydrothermal alteration and severe Na loss, resulting in strongly peraluminous characteristics. Zircon εHf(t) values of the Devonian samples were generally higher than those of the Triassic samples, indicating a greater mantle contribution to the Devonian intrusions. The two magmatic episodes formed during different tectonic stages. The Devonian intrusions formed in a post-collisional extensional setting after the closure of Proto-Tethys Ocean and continental block collision, whereas the Late Triassic intrusions formed in an intraplate extensional setting after the termination of Paleo-Tethys Ocean subduction. Integrated geochronological and geochemical data demonstrated that the Yemaquan Fe-polymetallic deposit recorded two episodes of magmatic intrusion in the Early–Middle Devonian and Late Triassic, respectively, which triggered two independent episodes of skarn-type Fe-Cu-Pb-Zn mineralization. This study first identified the Devonian skarn mineralization event in the Yemaquan ore field and revised the conventional understanding that only Triassic mineralization occurred in the region.

Conclusion

The findings improve the metallogenic evolution theory of the Qimantag belt, providing important theoretical foundations and exploration directions for targeting Devonian intrusive rock-related polymetallic deposits in this region.

Evolutionary patterns of contact angle in CO2-water-oil-quartz system under temperature and pressure variations
CHEN Shuang, GUO Huirong, TIAN Hua
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250302
Abstract:
Objective

CO2-enhanced oil recovery (CO2-EOR) serves as a vital technology that simultaneously realizes crude oil production increase and geological carbon sequestration. However, existing research lacks systematic comparative investigations on wettability evolution under coupled temperature-pressure conditions and different gas phases (CO2, N2) in deep high-temperature high-pressure sandstone reservoirs, and the interfacial evolution mechanism of the CO2-water-oil-quartz multiphase system remains unclear, which restricts the optimization of field injection-production parameters for CO2 flooding. This study carries out microscopic experimental research to clarify the coupling mechanism of contact angle and wettability controlled by temperature, pressure, and gas composition.

Methods

A high-temperature high-pressure visual quartz capillary experimental setup was constructed, with n-hexadecane adopted to simulate formation crude oil. Continuous temperature gradients ranging from 25℃ to 200℃ and pressure gradients from 5 MPa to 30 MPa were set up for testing. Contact angles of two-phase CO2-water, water-hexadecane systems, and three-phase systems filled with CO2 or N2 were measured separately. Combined with the variation patterns of interfacial tension and fluid viscosity, the internal control mechanism of gas composition on reservoir wettability was analyzed quantitatively.

Results

The test results indicated that the CO2-water contact angle increased slightly with the growth of temperature and pressure, while the water-hexadecane contact angle decreased remarkably with temperature rise and showed weak response to pressure variation. Gas injection could adjust oil-water interfacial tension to alter reservoir wettability, and CO2 exerted a stronger viscosity-reducing effect on crude oil than N2. The critical temperature range for complete wettability transition of quartz mineral was 120-150℃. Above this threshold, the quartz surface completely transformed from oil-wet to water-wet. Heating could effectively reduce crude viscosity and enhance the seepage capacity of oil phase, while pressure had a limited effect on the physical properties of oil and water fluids.

Conclusion

Higher temperature facilitates the hydrophilic transformation of quartz matrix in sandstone reservoirs. Reasonable regulation of flooding temperature can greatly improve the recovery efficiency of CO2-EOR. This study innovatively conducts comparative micro-capillary experiments with CO2 and N2 as contrasting gas phases, and reveals the coupled controlling effect of temperature, pressure, and gas species on multiphase contact angle. The experimental conclusions can provide a reliable basis for optimizing temperature-pressure operation schemes for CO2 flooding in deep quartz sandstone oil reservoirs.

ZHOU Xianxi, CHANG Ming, GONG Chengliang, XIE Minggang, WU Yinliang
, Available online  , doi: 10.19509j.cnki.dzkq.tb202606034
Abstract:
[Purpose] The selection of positive and negative samples is an important factor affecting landslide susceptibility assessment. To address the insufficient representativeness of positive samples and the uncertainty associated with random negative sample selection, this study constructs a landslide susceptibility assessment method oriented toward training sample optimization and validates it in the Lianghekou Reservoir area of the Yalong River.[Methods] First, SBAS-InSAR technology was used to obtain surface deformation information in the reservoir area, and a landslide inventory was constructed by integrating historical landslide records and remote sensing interpretation results. On this basis, training samples were optimized and selected. Positive samples were screened according to the comprehensive similarity between pixels within landslide polygons and typical landslide-conditioning environmental features, so as to retain samples that better represent landslide-prone environments. Negative samples were selected from InSAR low-deformation areas and information-value-model low-susceptibility areas to reduce the risk of incorrectly selecting potentially susceptible areas as negative samples. Then, XGBoost and LR models were constructed under different combinations of positive and negative samples, and their susceptibility assessment results were compared. [Results] A total of 109 potential landslides were identified in the study area, with a total area of 18.9 km², accounting for 2.5% of the study area. Compared with full-pixel sampling within landslide polygons and centroid-point sampling, positive sample screening based on comprehensive similarity reduced sample redundancy while preserving typical landslide-conditioning characteristics, resulting in better model prediction performance. Compared with random sampling outside landslide polygons, selecting negative samples from InSAR low-deformation areas and information-value-model low-susceptibility areas improved model prediction performance. According to the comparative analysis of ROC curves and susceptibility index distribution characteristics, the XGBoost model using comprehensive-similarity-screened positive samples and information-value-model low-susceptibility negative samples performed best, with an AUC value of 0.962. [Conclusion] Representative screening of positive samples within landslide polygons, together with constrained negative sample selection, helps improve training sample quality and model prediction accuracy. The results can provide a reference for landslide disaster prevention and mitigation in reservoir areas and for training sample construction in landslide susceptibility assessment.
Strength Evolution Characteristics of Frozen Soil Based on Laboratory Vane Shear Tests
xie tong, ZHU Honghu, WU Bing, TAN Daoyuan, YAN Dumin, , CAO Dingfeng
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603046
Abstract:
【Objective】To elucidate the evolution of shear strength and the brittle failure characteristics of soil during freezing, laboratory vane shear tests were performed on fine-grained sandy soil collected from Nyingchi, Tibet.【Methods】Under a constant freezing temperature of −8°C, specimens with initial gravimetric water contents of 5%, 9%, and 13% were prepared. Different volumetric ice contents were achieved by controlling the freezing duration. The evolution of ice content was determined from monitored temperature and unfrozen water content, and peak strength, residual strength, and brittleness index were derived from the shear strength-rotation angle curves obtained from the vane shear tests.【Results】The shear strength of the specimens increased continuously with freezing time, corresponding to the increase in ice content. Peak strength increased significantly more than residual strength, resulting in a progressively wider gap between the two and increasingly pronounced post-peak softening. Accordingly, the failure mode evolved gradually from progressive deformation to a more distinct brittle response. The brittleness index exhibited an overall upward trend with increasing ice content, indicating that higher ice content markedly intensified post-peak strength degradation and brittle failure characteristics in frozen soil. Under the present test conditions, peak strength occurred predominantly within a rotation angle range of 20°~30°, which may provide a useful reference interval for peak-strength identification and result interpretation in laboratory vane shear tests on frozen soil.【Conclusion】Ice content is a key factor governing the evolution of shear strength, post-peak softening, and brittle failure characteristics of frozen soil. Laboratory vane shear tests can effectively characterize the full-process evolution of frozen-soil strength.
Zircon U-Pb Geochronology and Metallogenic Implications of porphyry bodyin Nanshanchachang , Southeastern Hubei Province
ZHANG Xiaobo, ZHOU Runjie, ZHOU Bao, CHENG Xiaozeng, QIN Zhijun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605049
Abstract:
【Objective】 The Nanshanchachang area is located in the southern part of the Edongnan ore district and on the western margin of the Yinzu pluton, which has become a key prospecting area in southeastern Hubei in recent years.Multiple small porphyry bodies accompanied by favorable mineralization phenomena have been newly discovered in this area.Nevertheless, few studies have been carried out on the geochronology, geochemical characteristics and metallogenic potential of the small porphyries in this area. 【Methods】This study conducts a systematic zircon geochronology and geochemistry investigation on granodiorite porphyry and quartz diorite porphyry developed in the area. 【Results】The results show that the weighted mean zircon U–Pb ages of the two intrusions are 141.5 ± 1.1 Ma and 140.9 ± 1.5 Ma, respectively, which are consistent with the mineralization ages of Cu polymetallic deposits in the Edongnan ore district. Zircon Lu-Hf isotopes yield εHf(t) values of –11.87 to –9.2 and –11.1 to –8.89, suggesting that the magma source is similar to that of the regional ore-forming intrusions, mainly derived from an enriched lithospheric mantle with crustal contamination during evolution. Zircons from granodiorite and quartz diorite porphyries display Eu/Eu* values of 0.69–0.78 and 0.67–0.80, Dy/Yb ratios of 0.18–0.27 and 0.18–0.24, 10000×(Eu/Eu*)/Y values of 4.59–8.66 and 4.98–12.40, and (Ce/Nd)/Y ratios of 0.001–0.004, comparable to zircons from ore-related intrusions in the Edongnan Cu polymetallic deposits. Zircon Ti-in-thermometer estimates yield crystallization temperatures of 678–775 °C and 708–774 °C.【Conclusion】Combined with zircon geochemistry, the calculated ΔFMQ values (+0.34 to +1.84 and +0.46 to +1.52) indicate that the magmas had relatively high oxygen fugacity.Such hydrous and oxidized magmatic conditions are favorable for suppressing early sulfide saturation and facilitating the late-stage enrichment and migration of chalcophile elements such as Cu, Mo, and Au. Integrating geochronological, isotopic, and geochemical evidence, the Nanshanchachang small intrusions exhibit typical ore-related porphyry characteristics with significant mineralization potential. Future exploration should focus on deep verification in structural intersections and carbonate contact zones to achieve breakthroughs in mineral exploration.
Microscopic Evolution and Static Characteristics of Granite Residual Soil under Wet-Dry Cycles Conditions
ding qingfeng, CHEN Yang, LIN Peiyuan, YANG Xiangyun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605009
Abstract:
【Objective】The existing studies mostly focus on short-term dry-wet cycles, which makes it difficult to reveal the long-term cumulative effects and the influence of fine particle migration. This paper takes the granite residual soil in Zhuhai as the research object, and studies the strength characteristics and microstructure evolution laws of soil with different fine particle contents under the long-term dry-wet cycling conditions.【Methods】Prepare reconstituted specimens with fine particle contents of 10%, 30%, and 50%. Conduct 1 to 100 dry-wet cycle tests and saturated unconsolidated undrained triaxial tests. Combine scanning electron microscopy (SEM) and Image-Pro Plus (IPP) aperture statistical methods to analyze the changes in the soil's microstructure.【Results】The results show that short-term wet-dry cycles (≤10 cycles) generally induce structural loosening, pore enlargement, and a shift in pore-size distribution toward larger pores, leading to an overall reduction in shear strength and cohesion. Under long-term wet-dry cycling (≥50 cycles), pore sizes are redistributed, and the strength gradually tends to stabilize, with a certain degree of recovery observed in some cases relative to the level after the first cycle. Shear strength increases with confining pressure and fine particle content, whereas its variation with cycle number is overall non-monotonic and jointly governed by fine particle content and confining pressure. The granite residual soil exhibits stage-dependent strength evolution under long-term wet-dry cycling, which is associated with pore redistribution and local structural reorganization. The variation in cohesion is generally consistent with that of shear strength, and the critical fine particle content is preliminarily estimated to lie between 30% and 50%. The internal friction angle generally increases with fine particle content and remains relatively stable during the long-term cycling stage.【Conclusion】Granite residual soil exhibits distinct staged strength evolution characteristics under the long-term influence of dry-wet cycles. Its essence is closely related to the reorganization of pore structures and the regulatory effect of fine particles. The research results can provide a basis for the long-term stability analysis and the determination of strength parameters of coastal granite residual soil slopes.
Identification of confined water migration patterns in Multi-layer aquifer systems of strong deformation zones
CHANG Wei, YAN Huiming, DENG Zhengrong, QI Lingxuan, GENG Junmin, JI Huaisong, TAN Jianji, HUANG Kun
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250322
Abstract:
Objective

In strong deformation tectonic zones, the structure of multi-layer karst aquifer systems exhibits significant spatial variability, leading to complex and variable characteristics of groundwater occurrence and migration. This presents considerable challenges for predicting water inrush risks in deep-buried water diversion tunnels. The water conveyance tunnel of the under-construction Yangtze-to-Han River Water Diversion Project traverses the Jindou-Anzizhai strong deformation zone, where multiple exploration boreholes have exposed confined water with high pressure and large flow rates, resulting in an extremely high risk of water inrush during tunnel construction.

Methods

A comprehensive combination of hydrogeological drilling, borehole television imaging, hydrochemical analysis, isotopic tracing, and hydrodynamic monitoring techniques was employed to systematically identify the recharge, occurrence, and migration patterns of confined water in the multi-layer aquifer system.

Results

The Jindou-Anzizhai composite anticline is characterized by an interbedded structure of alternating karst aquifers and aquitards, with weak karst development and fracture-dominated water-bearing media. The confined water is characterized by long runoff paths, slow circulation renewal, and the inability to receive direct and rapid recharge from modern precipitation. Groundwater migration is jointly controlled by topographic and tectonic factors, with an overall runoff direction from southwest to northeast, and the confined water is discharged upward through faults.

Conclusion

High recharge elevation, long runoff paths, and narrow discharge channels are the fundamental factors governing the formation of high-head confined water. The tunnel is prone to high-pressure water inrush risks when crossing fault fracture zones, fold cores, and the interfaces between aquifers and aquitards in strong deformation tectonic zones, and water inrush is mainly attributed to the release of static groundwater reserves. The research can provide a valuable reference for water hazard identification in deep-buried tunnels located in similar strong deformation tectonic zones.

Genetic Context and Triggering Thresholds of Rainfall-Induced Landslides During the July 8 Extreme Rainfall Event in Northeastern Chongqing
ZHANG Zhongyuan, LI Zhifei, LUO Xiaolong, DONG Yuanfeng, DENG Jiulin, HU Mingjun, LI Wei, YU Shu, LI Haiyang, CHEN Pengfei
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250323
Abstract:
Objective

In recent years, extreme rainfall-induced landslide disasters have occurred frequently. Revealing the genetic context of rainfall-triggered landslides and determining rainfall thresholds are critical components of meteorological risk early warning for geological hazards. However, existing regional studies lack quantitative analysis of landslide lag response and comparative evaluation of multiple rainfall threshold models, which restricts the precision of local early warning systems.

Methods

This study takes the July 8, 2024, extreme rainfall-induced landslide event in northeastern Chongqing as an example. Using geographic information systems and statistical analysis methods, we conducted quantitative analyses of the spatial coupling relationship between landslide distribution and geo-environmental factors, and the lagging response characteristics of landslides to sequential rainfall processes, based on 71 valid landslide samples after eliminating records with missing rainfall data. I-D, E-D, and E-I rainfall threshold models were established, and the accuracy of these three thresholds was compared using a confusion matrix.

Results

Spatially, landslides were significantly concentrated on north-facing slopes with elevations below 1000 m and gradients of 10°–30°, predominantly occurring in soft rock strata (Rock Groups Ⅱ1 and Ⅱ2) and within 500–800 m of folds and river networks. Temporally, landslide occurrence was positively correlated with rainfall processes, showing a clear lag effect, peaking on the seventh day of continuous heavy rainfall. The I-D model was found to be more suitable as a rainfall threshold line for the study area compared to the E-D and E-I models. Quantitative evaluation via confusion matrix shows that the I-D model under 50% landslide occurrence probability achieves an accuracy of 0.56 and a false alarm rate of 0.34, presenting the optimal overall performance among the three models.

Conclusion

Landslide disasters in northeastern Chongqing result from the coupling of specific geological conditions and extreme rainfall processes. The established I-D threshold can provide a scientific basis for meteorological risk early warning of regional geological hazards. However, future efforts should focus on increasing sample size and data precision to enhance model accuracy and short-term nowcasting capabilities.

Study on fracture propagation patterns of rock mass induced by high-voltage electrical pulse based on phase-field method
RAO Pingping, LI Chao, WANG Junyao, JIN Xiao, CUI Jifei
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250295
Abstract:
Objective

Rock fragmentation is a critical process in mining engineering, tunnel excavation, coalbed-gas exploitation and ultra-deep well construction. Conventional mechanical rock-breaking techniques suffer from severe bit abrasion, high construction cost, and low operational efficiency when applied to high-strength rock under complex geological conditions. As an emerging high-efficiency fragmentation technology, high-voltage electrical pulse (HVEP) rock breaking can induce rock failure via instantaneous energy release. Nevertheless, a comprehensive quantitative evaluation framework for fracture initiation and rock mass damage evolution induced by HVEP has not been well established. This study aims to reveal the intrinsic mechanism of fracture initiation and propagation in rock mass subjected to HVEP loads, clarify the temporal relationship between rock mass damage and fracture evolution driven by shock waves, and identify the effects of key discharge circuit parameters on rock-breaking performance.

Methods

Based on fracture mechanics and damage mechanics theories, a coupled phase-field fracture numerical model was constructed by integrating the RLC discharge circuit and the Weizel-Rompe plasma-arc impedance model. A tensile-compressive strain decomposition algorithm was adopted to distinguish tension-dominated fracture from pure compressive elastic deformation. Numerical simulations were carried out under typical working conditions: discharge voltage 9–13 kV, capacitance 2–5 μF, circuit inductance 5 μH–5 mH, and plasma-channel length 0.03–0.06 m. The phase-field variable was employed to quantitatively calculate initial fracture propagation length and damage area of the rock mass. The effects of shock wave characteristics, discharge voltage, capacitance, circuit inductance, and plasma-channel length on rock mass fracture behaviors were systematically analyzed.

Results

The simulation results demonstrated that rock mass damage evolution was strongly correlated with shock wave intensity and its rising rate. Damage did not equal fracture propagation, and damage initiation preceded macro-fracture initiation and served as a precursor of fracture formation. Higher shock wave intensity and faster rising rate accelerated fracture propagation, increased the degree of rock mass damage, and expanded the damage extent. Rock-breaking performance improved with the increase of discharge voltage and energy storage capacitance, whereas it degraded as plasma-channel length increased. Minor variations in circuit inductance had little influence on rock-breaking performance, while a substantial increase in inductance suppressed instantaneous energy release and weakened rock fragmentation. The waveform of displacement at the HVEP action point was similar to that of shock wave pressure. Influenced by rock material deformation and internal energy dissipation, the displacement response exhibited an obvious hysteresis relative to shock wave pressure.

Conclusion

The proposed coupled model realizes quantitative characterization of fracture growth and rock mass damage under HVEP loading. The findings can offer theoretical references for parameter selection and commissioning of HVEP rock-breaking equipment in practical rock-engineering applications.

Evaluation and Significance of Porosity Measuring techniques for Laminated Shales in the Dongying Sag
ZHANG Kuihua, LI Junliang, LIU Yue, WANG Weiqing, LI Chuanhua, YANG Huaiyu, TENG Jianbin, LIU Xinjin, ZHANG Shun, HAN Yuanjia, DONG Tian
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605050
Abstract:
Laminated shales are extensively developed in the fourth member of the Paleogene Shahejie Formation (Es₄) within the Jiyang Depression, Bohai Bay Basin. Studies suggested that accurate measurement and effective evaluation of porosity in shale reservoirs are crucial for shale oil resource assessment and sweet spot prediction. This study focuses on the upper sub-member of Es₄ (Es₄ˢ) laminated shales in the Dongying Depression. Building upon an evaluation of their basic geological characteristics, we employed an integrated experimental approach including scanning electron microscopy (SEM), nuclear magnetic resonance (NMR), low-temperature nitrogen adsorption (LTNA), heliμm porosity, and high-pressure mercury intrusion capillary pressure (MICP) analyses. This study clarifies compares different porosity testing methods and the influence of experimental conditions on porosity measurements. Shale in this study area is predominantly composed of mixed shale facies, including organic-rich laminated clay-rich mixed shale, organic-rich laminated carbonate-rich mixed shale, and organic-bearing laminated clay-rich mixed shale. The main pore types observed in the Es4 shales of the Dongying Depression are intergranular pores, intercrystalline pores, clay interlayer pores, and dissolved pores. Shale oil primarily occurs within intergranular pores, intercrystalline pores, and micro-fractures. The comparison of multiple porosity measurement methods shows that: crushed-sample helium density method > GRI method > core-plug helium density method ≈ water-saturated NMR method ≈ oil-saturated NMR method > alcohol method > high-pressure mercury intrusion method. Among them, the crushed-sample helium density method yields the highest total porosity, and its experimental conditions are optimized. For porosity determination, rock samples should be crushed to 200-mesh and subjected to ternary solvent extraction for at least 3 days. The extracted samples should be dried at temperatures ≥100°C, with drying at 140°C or above being implemented to ensure thorough removal of residual fluids. The equilibration time for heliμm pycnometry measurements should be set at 10 minutes. The comprehensive application of the above experimental conditions can obtain the maximum total porosity value. This study provides an effective methodological basis and data support for the accurate determination of total porosity in continental laminated shale reservoirs.
Influence of pore-throat characteristics and displacement parameters of 3D digital cores on seepage and displacement capability: A case study of tight oil reservoir of Chang 8 reservoir group in Fuxian area, Ordos Basin
YANG Xiaofeng, QU Hongjun, ZHANG Leigang, LIU Xian, SU Shuai, YIN Hu
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250285
Abstract:
Objective

The Chang 8 member of the Yanchang Formation in the Ordos Basin is a typical ultra-low-porosity and ultra-low-permeability tight sandstone reservoir characterized by severe microscopic pore-throat heterogeneity and complex distribution patterns of residual oil after water flooding. Existing studies utilizing digital core simulation mostly focus on the independent characterization of pore structure or single displacement condition, and few quantitative investigations have systematically revealed the synergistic effects of intrinsic pore-throat properties and displacement conditions. A comprehensive quantitative understanding of seepage and displacement evolution mechanism under the joint control of microscopic pore-throat structure and displacement parameters can provide a microscopic theoretical basis for efficient water-flooding development of tight oil in Fuxian area, Ordos Basin.

Methods

In this study, the tight sandstone reservoir in the Chang 8 member of the Yanchang Formation in Fuxian area, Ordos Basin was selected as the study object. Two representative tight sandstone core samples (labeled YP1 and YP2) were collected and scanned by micro-CT scan with a spatial resolution of 1 μm. A series of image preprocessing procedures, including grayscale enhancement, non-local mean filtering, and threshold binarization, were performed to eliminate instrument noise, and the maximal ball algorithm was adopted to reconstruct 3D pore-throat network. Representative elementary volume (REV) analysis was carried out to confirm the stable core calculation unit with a side length of 350 μm. Subsequently, grid coarsening and geometric defect repair were conducted to reduce computational cost. A microscopic seepage numerical model coupling Navier-Stokes (N-S) equations with the Cahn–Hilliard (C-H) phase-field method was established to simulate single-phase water seepage and transient oil-water two-phase displacement separately. Two sets of controlled variables—multiple gradient driving pressures (0.001-500 MPa) and eight groups of oil-water viscosity ratios (0.06-3.00)—were designed to quantitatively compare the seepage and displacement response patterns of YP1 and YP2 with distinct pore-throat configurations.

Results

Under single-phase seepage conditions, fluid velocity and differential pressure were concentrated within narrow throats to form high stress concentration zones, while fluid velocity and pressure fluctuated slightly inside large pore cavities. Sample YP1 was characterized by large pores, small throats, and strong microscopic heterogeneity, and its displacement evolution curves showed segmented steep changes. To achieve the same residual oil saturation as YP2, YP1 required remarkably higher driving pressure. For both samples, the calculated absolute permeability declined continuously as driving pressure increased, while permeability remained stable in the low-pressure range. Stress concentration generated by small throats and intricate pore-throat networks easily caused fluid blockage and displacement stagnation. Throat radius and pore-throat heterogeneity directly controlled the advancing speed and sweep range of water flooding, while the volume fraction of connected pores determined the scale of effectively mobilizable pore space and ultimately controlled final displacement efficiency. Isolated micropores were prone to forming permanent residual oil retention zones. Quantitative simulation results showed that, for cores with a high proportion of throats smaller than 8 μm, increasing driving pressure could greatly improve displacement efficiency, whereas cores dominated by large throats showed limited efficiency improvement after increasing pressure. For samples with abundant pores larger than 18 μm and well-developed preferential seepage channels, reducing the oil-water viscosity ratio could expand the sweep range and improve displacement performance. In contrast, reservoirs dominated by micropores showed higher seepage resistance and lower displacement efficiency when the viscosity ratio decreased. The simulated permeability values (0.32–0.75×103 μm2) were consistent with laboratory core measurements, which verified the reliability of the established simulation model.

Conclusion

This study distinguishes the respective controlling effects of pores and throats on microscopic oil-water displacement and clarifies their coupling response patterns under different water-flooding parameters. The quantitative relationships among pore-throat configuration, driving pressure, and viscosity ratio can provide a basis for optimizing water-flooding parameters and predicting residual oil for Chang 8 tight oil reservoirs in Fuxian area, Ordos Basin. Unlike previous single-factor simulation studies, this study establishes a complete quantitative evaluation framework considering the joint influence of intrinsic pore-throat properties and artificial displacement conditions, which offers new microscopic insights for the efficient exploitation of analogous tight sandstone reservoirs worldwide.

Distribution characteristics and inversion analysis of in-situ stress field at tunnel site of an extra-long and ultra-deep tunnel in Wumeng Mountain area
GUO Yanhui, LUO Yi, LIU Jing, BAO Guoneng, HE Kaiguo, DONG Yasheng, YANG Junkun, FANG Nanbo
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250272
Abstract:
Objective

In-situ stress is a fundamental geological parameter dominating the design and construction safety of deep mountain tunnels. With the rapid expansion of transportation infrastructure in southwest China, numerous extra-long and deeply buried tunnels inevitably pass through complex tectonic zones with intense horizontal tectonic compression, where severely high in-situ stress easily triggers large deformation of surrounding rock and rockburst hazards. The Qiaojia Tunnel on the Ludian-Qiaojia Expressway, located on the northeastern margin of the Wumeng Mountain tectonic belt, is a separated double-line extra-long tunnel with a maximum burial depth exceeding 1 600 m. Restricted by field construction conditions, only limited borehole measuring points can be arranged for hydraulic fracturing tests, which fail to reflect the overall spatial distribution of the three-dimensional in-situ stress field across the entire tunnel site. To fully characterize the initial in-situ stress distribution and develop a reliable inversion framework applicable to ultra-deep tunnels under strong tectonic extrusion, this paper carries out systematic field measurement and numerical comparative research.

Methods

First, six sets of hydraulic fracturing in-situ stress data ranging in depths from 346-637 m were collected from borehole K67+910 m in the tunnel exit section and were used to analyze the variation patterns of the three principal stresses with burial depth. The finite element software MIDAS GTS NX was utilized to establish a three-dimensional geomechanical model with a plane size of 2 400 m × 2 400 m. Multiple sets of mechanical parameters for dolomite, limestone, and mudstone are assigned to the model according to official geological investigation documents. Four types of boundary schemes, namely displacement constraint boundary, stress loading boundary, hybrid boundary, and the boundary scheme derived from initial strain energy theory, were separately implemented for comparative inversion tests. The strain-energy-based scheme was selected as the optimal boundary condition due to its superior fitting performance with the measured stress data. After applying the optimal boundary condition to the full-domain model, the inversion results at each measuring point were extracted and compared with field test values, with ±20% defined as the allowable relative error threshold for evaluating inversion accuracy.

Results

Field test results demonstrated that the magnitudes of the three principal stresses increased approximately linearly with burial depth. The magnitude sequence of in-situ stress ranked as follows: maximum horizontal principal stress (SH) > vertical overburden stress (Sv) > minimum horizontal principal stress (Sh). The dominant azimuth of the measured SH was NW32°, proving that the regional stress field was dominated by horizontal tectonic stress. The numerical inversion results indicated that the simulated SH azimuth was concentrated between NW30° and NW35°, which achieved high consistency with field measurement. The relative errors at most measuring points were controlled within 15%, and all errors fell within the permissible range. In addition, the simulated growth gradient of principal stress with depth was consistent with field measurements, verifying the stability and reliability of the strain-energy-based inversion method.

Conclusion

This study systematically clarifies the applicable scope and inherent limitations of four commonly used boundary schemes for in-situ stress inversion. Compared with traditional single-boundary inversion methods, the proposed strain-energy-based approach can simultaneously reconstruct both gravity-induced stress and regional tectonic stress fields without obvious distortion of stress contour distribution. The distribution patterns and quantitative stress data obtained in this research can provide solid theoretical support and practical engineering references for the in-situ stress inversion of analogous ultra-deep extra-long tunnels, and can guide the optimization of surrounding rock support parameters and the early warning of high-stress geological disasters such as rockbursts and large deformation caused by extrusion.

Response characteristics of grouting-induced ground heave and evolution of grout diffusion patterns in soft stratum
tian yuqian, CHANG Dan, LIU Jiankun, YAN Yihui, TANG Maojie, HUANG Qingfei
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605045
Abstract:
[Objective] Grouting technology is an important ground improvement method in underground engineering and plays a significant role in enhancing foundation bearing capacity and improving the mechanical properties of soft soils. However, grout diffusion within the soil may disturb the original in-situ stress equilibrium, thereby inducing soil deformation and ground heave, which may pose potential risks to surrounding buildings, structures, and underground engineering works. [Methods] This study conducted a series of laboratory model tests to systematically investigate the effects of grouting pressure, burial depth, and water-cement ratio on ground heave response. In addition, three-dimensional reconstruction technology was employed to analyze the morphological characteristics of grout bodies, and the relationship between grout body morphology evolution and grout diffusion patterns was further explored. [Results] The results indicate that the heave evolution can be divided into three stages: initial stress accumulation, rapid uplift, and subsequent rebound or stabilization. The heave is primarily concentrated near the grouting center and attenuates with increasing radial distance. Increasing grouting pressure markedly enhances the maximum heave, whereas greater burial depth suppresses its development. Under a constant grouting pressure of 300 kPa, as the water-cement ratio increases from 0.3 to 0.9, the maximum heave exhibits a non-monotonic trend, first increasing and then decreasing. Three-dimensional reconstruction further reveals that the grout diffusion pattern transitions from compaction-dominated to fracture-dominated with increasing water-cement ratio. [Conclusion] These findings contribute to a better understanding of the quantitative relationship between grouting parameters and ground heave, as well as the evolution of grout diffusion patterns, and provide a theoretical basis for parameter optimization in underground grouting engineering.
Simulation study on the temporal dynamics of surface soil moisture in the Kubuqi Desert based on multiple soil hydraulic parameter schemes
wang jing, wang haixia, liu yujia, zhou jieliang, SUN Ziyong, HU Shun, WANG Yunquan
, Available online  , doi: 10.19509j.cnki.dzkq.tb202606015
Abstract:
【Objective】The Kubuqi Desert is located in the transition zone between arid and semi-arid climates, where surface soil moisture is characterized by pulse-like recharge, rapid depletion, and pronounced seasonal variability. These dynamics play a critical role in regulating vegetation restoration, ecosystem stability, and regional hydrological processes. Land surface models provide an effective approach for obtaining spatially continuous and temporally resolved estimates of soil moisture dynamics. However, the selection of soil hydraulic models and associated parameterization schemes can substantially influence simulated soil moisture behavior.【Methods】In this study, we focused on the Kubuqi Desert and used the Noah-MP 5.0 land surface model driven by ERA5-Land meteorological forcing data from 2017 to 2024, together with SMAP surface soil moisture products, to evaluate the effects of different soil hydraulic parameterization schemes. Four simulation experiments were designed, including the Clapp–Hornberger lookup-table scheme, VGM-Rosetta3, VGM-SPINN, and VGM-SPTF. We systematically examined their impacts on the overall simulation of surface soil moisture, seasonal variations, interannual trends, and grid-scale model performance.【Results】The results indicate that soil hydraulic parameterization schemes exert a substantial influence on the simulated temporal dynamics of surface soil moisture in the Kubuqi Desert. Different schemes considerably affect the model’s ability to reproduce mean soil moisture conditions, seasonal amplitude, the timing of peak soil moisture, and interannual variability.【Conclusion】These differences further influence the simulated responses of surface soil moisture to rainfall pulses and subsequent soil water redistribution processes.
Research on Key Technologies and Methods for Early Landslide Detection using Domestic LuTan Satellite InSAR
chen shijie, YANG Yinghui, XU Qiang, lai siyu, XU qian, CHEN Qiang
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604064
Abstract:
  This study focuses on the early identification technology of landslide hazards using domestic LT-SAR satellite images and analyzes typical technical challenges encountered in InSAR-based landslide recognition.
  First, the importance of multi-look processing of LT-SAR data is discussed, exploring the balance between noise suppression and spatial resolution through multi-look factors. The optimal multi-look factor parameters for LT-SAR images are obtained. Furthermore, the impact of interferogram filtering window on deformation extraction accuracy is analyzed, revealing that the optimal filtering window can effectively suppress interference noise while preserving deformation information. The study also shows that performing atmospheric correction on the InSAR interferogram layer first, followed by terrain-related atmospheric correction, can effectively reduce atmospheric noise and enhance deformation extraction accuracy, avoiding the propagation of phase unwrapping errors. In addition, the paper examines the optimal sequence of InSAR processing steps, finding that correcting external atmospheric errors in the interferogram, followed by orbit error correction, and finally terrain-related atmospheric correction, constitutes the best processing sequence. Finally, a landslide-prone area in the middle and lower reaches of the Minjiang River is used as a case study. Based on optimal and reference parameter sets, early landslide identification experiments using LT-SAR satellite data are conducted, validating the effectiveness and applicability of the optimal parameter set.
  The results of this study propose an effective InSAR-based landslide recognition strategy for domestic LT-SAR satellite data, contributing to enhancing the application capability of domestic LT-SAR satellite data in early landslide hazard identification and providing valuable references for related scientific research and engineering practice.
A Ground Settlement Prediction Model for Shield Tunneling in Sandy Strata Incorporating Depth-to-Diameter Ratio and Density
ZOU Deqiang, MENG Jiangtao, DENG Jun, LI Jingpeng, CUI Haolei, XIE Jiren
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602011
Abstract:
【Objective】The classical Peck formula exhibits limited accuracy in predicting ground settlement induced by tunneling in sandy strata, primarily due to its neglect of key influencing factors.【Methods】To address this limitation, this study conducted a series of orthogonal physical model tests to investigate shield tunneling-induced settlement. The experiments were designed with varying sand densities (1.35, 1.40, 1.45 kg/dm³) and tunnel depth-to-diameter ratios (C/D = 0.6, 1.2, 1.8, 2.4, 3.0). Ground loss was simulated using a combination of concentric tubes (outer diameter D=11cm; inner diameters of 3cm and 9cm). High-resolution 3D laser scanning was employed to capture surface settlement cloud data. Based on the experimental results, the Peck formula was inversely modified, leading to a new predictive model that incorporates the depth-to-diameter ratio as a key factor.【Results】The findings indicate: (1) Settlement trough geometry is significantly influenced by the coupling effect of sand density and depth-to-diameter ratio, with the latter being the dominant controlling factor. (2) The revised model demonstrates superior performance, reducing the relative error in predicting maximum settlement to within 10% across various scenarios, a marked improvement over the original formula. (3) Even under over-excavation conditions, the new model maintains a stable prediction error within 20%.【Conclusion】This study confirms that the proposed model, which accounts for the depth-to-diameter ratio, can effectively predict settlement trough characteristics in sandy strata and provides a more reliable theoretical basis for shield tunneling engineering.
Analysis of Oil Source of Oil Sands in Yanghugou Formation in Yindongzi Area, Ordos Basin
SHI Keai, ZHANG Xiaolei, JIA Lianqi, JING Xianghui, FAN Changyu, GUO Jiankang, LIU Shunyu, ZHENG Ruining, JIANG Chunxu
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602017
Abstract:
【Objective】The origin of crude oil in the oil sands of the Carboniferous Yanghugou Formation in the Yin Dongzi Area, southern segment of the western margin of the Ordos Basin, remains controversial. This study aims to investigate the source of crude oil in the Yanghugou Formation oil sands and provide theoretical support for the further advancement of oil and gas exploration in the region.【Methods】Systematic analyses of carbon isotopes and biomarker characteristics were conducted on oil sand and source rock samples from the Taiyuan Formation, Yanghugou Formation, and Wulalike Formation in the study area.【Results】①The Yanghugou Formation oil sands exhibit a distinct UCM hump, and the carbon isotope profiles of the group components show inversion, indicating that the reservoir has undergone biodegradation. ②The UCM hump coexists with intact n-alkanes; the δ13C of the asphaltene fraction is from -29.83‰ to -27.52‰, suggesting a mixture of marine crude oil and coal-derived oil; The sterane isomerization parameters C29ββ/(αα+ββ) and C2920S/(20S+20R) range from 0.52 to 0.56 and 0.49 to 0.54, respectively, while Rob (F1) ranges from 0.96% to 1.27%, and Rob (F2) ranges from 0.86% to 1.08%. These parameters indicate differences in maturity and suggest that the Yanghugou Formation oil sands are a mixture of marine crude oil and coal-derived oil at different maturities. ③Using parameters such as terpane and sterane series compounds, which are less affected by biodegradation, oil sands from the Yanghugou Formation and source rocks were classified under the same maturity conditions. The results suggest that the Yanghugou Formation oil sands are primarily sourced from the Wulalike Formation source rocks, with minor contributions from the Type I coal-measure source rocks in the Yanghugou Formation, as defined in this study.【Conclusions】This study, through carbon isotope and biomarker analyses, concludes that the Yanghugou Formation oil sands are a mixture of marine crude oil from the Wulalike Formation and coal-derived oil from the Yanghugou Formation. The study eliminates the influence of biodegradation, enhancing the reliability of the results and providing new insights for oil and gas exploration in the southern segment of the western margin of the Ordos Basin.
ZENG Qiang, SONG Tianxiang, DONG Yunjia, LI Bing, SHI Zhihan
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604025
Abstract:
Taking the outlet section of the right-bank tailrace tunnel at the GS Hydropower Station as the engineering background, this study investigates the instability mechanism and evaluation method of surrounding rock in a thin-layered anti-dip carbonaceous slate by integrating field investigation, theoretical analysis, physical model testing, and 3DEC numerical simulation. The anti-dip layered rock mass is simplified as a superposed thin-plate system, and a mechanical model and corresponding criterion for tensile-flexural failure of rock layers are established. Physical model tests of tunnel excavation under biaxial loading are conducted for foliation dip angles of 40° and 60°, together with distributed fiber optic sensing, digital image correlation, and acoustic emission monitoring. The results reveal a progressive failure process characterized by crack initiation, damage accumulation, through-crack formation, and tensile-flexural toppling instability. Under the present test conditions, the 60° model exhibits earlier crown spalling, faster development of reverse step-shaped through-cracks along the sidewalls, and more severe block detachment than the 40° model, indicating that a larger foliation dip angle is more unfavorable to surrounding rock stability. The calculated results obtained from the proposed criterion are basically consistent with the timing of through-crack development observed in the physical model tests. The 3DEC simulations reproduce the crack initiation positions, propagation paths, and toppling failure characteristics of the surrounding rock, showing good agreement with both the physical model tests and field observations. The results indicate that the instability of thin-layered anti-dip surrounding rock is mainly controlled by the tensile-flexural effect of rock layers, while the foliation dip angle and post-excavation constraint conditions are key factors affecting stability. The study can provide a reference for stability evaluation and support optimization of hydraulic tunnels under similar geological conditions.
Research on Intelligent Evaluation of Embankment Hazard Prone Areas Based on Multi-scale Section Unit Division
GAN Xiaoyan, SHI Lei, AO Yuefei, HU Sijun, JIA Zhuo, LIU Bo
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605024
Abstract:
As a key infrastructure in the flood control and disaster reduction system of river basins, the existing risk prevention and control units of embankment projects are mismatched with their linear engineering spatial forms, making it difficult to achieve precise spatial quantification of potential risks in different sections of the embankment. [Objective] To improve the accuracy of identifying the spatial distribution pattern of potential vulnerable sections, [Method] an evaluation unit division method along the embankment axis line with multiple scales was proposed by introducing the vulnerability evaluation modeling paradigm. Taking the typical embankment in Poyang Lake area as an example, an embankment risk vulnerability evaluation model was constructed, and the prediction performance of five spatial resolution scales (10 m, 15 m, 20 m, 40 m, and 2000 m²) and two machine learning models (RF and SVM) was systematically compared. [Result] The results show that: (1) The prediction results of embankment risks are highly sensitive to the spatial scale of the evaluation units, and the prediction accuracy is significantly positively correlated with the refinement of the units; (2) When dealing with multi-source structured data, the RF model, with its ensemble learning mechanism and strong nonlinear fitting ability, has significantly better overall prediction accuracy and robustness than the SVM model. (3) The RF-10m model has the best performance, with an AUC value of 0.952 and an accuracy rate of 92.29%, and the spatial distribution of the vulnerability index is more reasonable, with the highest spatial matching degree between the extremely high and high vulnerability areas and the historical risk sections. [Conclusion] Vulnerability evaluation can be effectively applied to the identification of embankment risks. Fine segmentation along the embankment axis line and coupling with high-performance machine learning models can significantly improve the evaluation accuracy, providing scientific support for embankment risk early warning and disaster reduction planning.
Fabrication of rock foundation materials and uplift test of model foundation based on similarity theory
zhang wenxiang, zhang haolan, chen donghuang, wang junjie, XI Banglu, YANG Jiaqiang, ZHANG Zhenhua
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604007
Abstract:
[Objective] he excavation-anchored composite foundation is widely applied in transmission line towers for layered foundations consisting of overlying fully/strongly weathered rock and underlying weak/medium weathered rock. To further investigate its load-bearing performance and load-sharing evolution patterns under uplift-horizontal composite loads, this study conducted experimental investigations to reveal its mechanical behavior and failure modes.[Methods] Using rock-like materials with varying proportions, an indoor stratified foundation model was constructed featuring "overlying strongly weathered rock and underlying moderately weathered rock." Bearing tests were conducted on excavation-anchor composite foundations under vertical uplift loads and combined vertical uplift-horizontal loads to analyze load-sharing evolution patterns and foundation failure mechanisms.[Results] Experimental results demonstrate: (1) The composite foundation system combining excavation and anchor reinforcement exhibits approximately 32% higher bearing capacity compared to excavation-only foundations. The deep anchoring effect of anchor rods promotes horizontal expansion of failure surfaces, thereby expanding the soil's load-bearing capacity range. (2) Under combined horizontal and uplift loads, the system demonstrates about 11% greater load-bearing capacity than pure uplift scenarios. The horizontal load alters stress paths, effectively mobilizing anchor rod forces to enhance structural integrity. Anchor load ratios initially range from 65%-70%, subsequently decreasing to 20%-30% due to stiffness differential-induced load transfer dynamics: initial high anchor stiffness leads to preferential load distribution, followed by lateral friction resistance from excavation foundations, with anchor rods ultimately maintaining stability through ductile deformation. [Conclusions] The excavation-anchor composite foundation effectively enhances bearing capacity and adapts to composite loads. The load-sharing evolution reveals the synergistic mechanism between anchor rods and foundation, providing theoretical support and engineering application references for layered foundation design.
Evaluation Model for Synergistic Carbon Sequestration Effect of SAGD Enhanced Recovery and CO2 Geological Storage in Oil Sands of Block M, Canada
LIN Lin, zhou jiuning, gao yongqi, lü junchen, qin zengming, yan guanghan, WANG Kangjun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605047
Abstract:
Taking the heavy oil reservoir in Block M of the Athabasca oil sands in Alberta, Canada, as an example, conventional Steam-Assisted Gravity Drainage (SAGD) technology faces issues such as severe heat loss and excessively high cumulative steam-to-oil ratio (cSOR). [Methods] This study employs the CMG-STARS numerical simulation method to compare three injection approaches: conventional SAGD, CO2-steam co-injection, and CO2-steam alternating injection. The analysis focuses on the steam chamber expansion characteristics, production dynamics, and CO2 sequestration efficiency under different injection strategies. [Results] The results demonstrate that in the oil sands reservoir of Block M, CO2-steam alternating injection facilitates the accumulation of CO2 at the top of the steam chamber, forming an insulating layer that effectively suppresses gas channeling and reduces heat loss caused by steam override. This approach increases the steam chamber volume by 13.24%, achieving a final recovery factor of 80.61%, which is 33.38% higher than conventional SAGD and 40.35% higher than co-injection. Furthermore, compared to the gas injection rate, the injection pressure has a more significant impact on production enhancement. The optimal operational parameters were determined to be an injection pressure of 3.0 MPa and a gas injection rate of 250 m3/d. Further research confirms that CO2-assisted SAGD achieves efficient CO2 geological sequestration through multiple mechanisms, including dissolution trapping, residual gas trapping, and mineral trapping. After 20 years of post-injection shut-in, the vertical sweep of gaseous CO2 is more extensive, with a more uniform spatial distribution, and the sequestration volume increases by 26.11% compared to the co-injection scenario. [Conclusion] This study provides fundamental theoretical guidance for enhancing oil sands SAGD production and CO2 geological storage.
 
LIU Jiakun, LI Liang, XIAO Shan, HE Keqiang
, Available online  , doi: 10.19509j.cnki.dzkq.tb202606022
Abstract:
[Objective]Traditional rainfall stability analyses of tailing dams often fail to capture the randomness of actual rainfall processes. To address this issue, a fragility-curve-based method is proposed for safety assessment of tailing dams during the flood season, with the aim of probabilistically characterizing the stability risk of tailing dams under random rainfall conditions.[Methods]Within the framework of unsaturated seepage analysis and limit equilibrium theory, a bounded random cascade model was introduced to simulate random rainfall processes. The generated rainfall time series were then applied as rainfall boundary conditions in Geo-Studio for unsaturated seepage and stability analyses. Three stability limit states were defined according to relevant specifications and engineering experience. The exceedance probabilities of these limit states were calculated under different combinations of rainfall duration and cumulative rainfall, and the corresponding fragility curves for flood-season safety assessment of tailing dams were established.[Results]The obtained fragility curves exhibited typical S-shaped characteristics. As rainfall duration increased, a larger cumulative rainfall was required to reach the same exceedance probability. Under the same cumulative rainfall condition, the exceedance probability of each limit state decreased with increasing rainfall duration. The analysis of actual rainfall events further showed that the proposed method can quantify the probability of a tailing dams reaching different stability limit states during continuous rainfall.[Conclusion]The proposed method, which combines the bounded random cascade model with fragility curves, can effectively describe the influence of random rainfall processes on tailing dams stability and provide a probabilistic evaluation of dam safety under different rainfall scenarios. In addition, by incorporating the recovery time Tr, the method can be further applied to dynamic safety assessment of tailings dams under intermittent rainfall conditions.
3D Geological Modeling Method for Shale Reservoirs under Sparse-Well Conditions: A Case Study of the Qintong Sag
LI Shengze, , WEI Kailong, GUO Zhi, GAO Xianjun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605031
Abstract:
[Objective]To address the difficulties in three-dimensional lithofacies modeling of shale reservoirs under sparse-well conditions, including insufficient lateral constraints between wells, difficulty in constructing representative three-dimensional training images, and non-orthogonal spatial distribution of interwell structures, a three-dimensional lithofacies modeling method constrained by non-orthogonal connected-well sections is proposed.[Methods] Taking the F2-2 Member shale reservoir in the Qintong Sag as an example, well lithofacies data were first discretized into a three-dimensional model. Two-dimensional interwell sections were then constructed by extracting profiles between arbitrary pairs of wells and written back into the three-dimensional model. On this basis, slice-by-slice simulation was carried out along non-orthogonal slicing paths consistent with the section directions. In addition, planar guiding points were introduced to supplement the intra-layer distribution information in weakly constrained areas, thereby forming the NCWDS three-dimensional lithofacies modeling workflow.[Results]The case study shows that the NCWDS model achieves a hard-data matching rate of 100.0% at well locations and a facies-proportion L1 deviation of 1.8736 percentage points. Compared with SIS and SNESIM, the NCWDS model has the lowest weighted mean absolute error of the vertical transition probability matrix, with a value of 0.056454. The same-facies adjacency ratios in the X, Y, and Z directions reach 98.5359%, 98.5419%, and 75.8044%, respectively. The total number of connected components, the proportion of small patches, and the proportion of isolated cells are all lower than those of the comparison models[Conclusion]The NCWDS method can better preserve the vertical stacking patterns and spatial continuity of shale reservoirs while strictly honoring well-control constraints. It also reduces the fragmentation of lithofacies distributions in weakly constrained areas, providing a methodological reference for three-dimensional lithofacies modeling of sparsely drilled reservoirs with strongly developed lamination.
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604004
Abstract:
Karst leakage is a key factor constraining the construction of pumped storage power stations in karst areas; due to the complex conditions of karst development, the tment of karst leakage is difficult, necessitating in-depth research.This study investigates the karst development characteristics and karst leakage conditions of the Guizhou Xinshui Karst Pumped Storage Power Station by employing methods of d survey and fracture measurement, hydrogeological exploration, and long-term observation of borehole water levels.Research results indicate that karstification is well-developed in the thick limestone layers of the Permian Maokou Formation (P2m) in the reervoir area, with not only well-developed dissolution fissures, solution pores, and caves, The cave encounter rate and linear karst rate reached 80% and 24.46%, respectively, There are numerous karst caves within 100 meters of the riverbed bottom, and due to the long-term flow of groundwater without significant filling, the reservoir faces a high risk of seepage around the dam and through the dam.It is necessary to take anti-seepage measures for treatment, Karst in the riverbed floor mainly develops within a range of 100 meters, so a seepage prevention treatment depth of 100 metersm foundation is sufficient.The left bank of the river is influenced by the Haiku Syncline and the Chenjiawanzi Fault, resulting in a higher degree of karst development ththe riverbed and the right bank, forming a groundwater level trough zone with conduit char. During the normal and low-water periods, the groundwater level in the low trough zone is 4-5 meters lower than the riverbed water level, and er recharges the groundwater in the low trough zone of the left anticlinal axis in reverse.After the current reservoir water level rises, the seepage into the syncline karst channel on the left bank will be further exacerbated.Reservoir karst leakage pathways are numerous and complex, making leakage prevention difficult; therefore, comprehensive seepage control treatment for the entire reservoir
3D Geological Modeling Technology for the Super-large Concealed Manganese Deposit of Daotuo, Guizhou Constrained Synergistically by Multi-source Heterogeneous Data
CAI Guorong, SHEN Hongqian, ZHANG Xialin, TIAN Yiping, LIU Jian, yang chengmei, liu runqin, HAN Yaofei, YAO Xicai, liu mingmin
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605025
Abstract:
【Objective】Aiming at the key challenges in 3D geological modeling of deep concealed manganese deposits, including insufficient multi-source data integration, lack of synergistic constraints, and difficulties in characterizing ultra-thin orebodies, this study takes the super-large fully concealed Daotuo manganese deposit in Guizhou Province as the research object. By integrating multi-source heterogeneous data such as DEM, geological mapping, drilling logs, exploration line sections, remote sensing images, and audio magnetotelluric (AMT) sounding data, an integrated 3D geological model covering the surface, strata, structures, and orebodies is constructed.【Methods】A systematic workflow was established, including standardized data processing, multi-source information synergistic constraints, and incremental simulation of ultra-thin orebodies. A total of 18 modeling units were defined, and surface fitting, topological reasoning, and Kriging interpolation were adopted to achieve accurate construction of geological bodies. Subsequently, cross-section analysis, virtual borehole verification, model dissection, and geostatistical reserve estimation were carried out.【Results】The results show that the model accurately reproduces the three-dimensional spatial structure of the study area from the surface down to an elevation of -2000 m. It clearly reveals the spatial occurrence regularities of the manganese-bearing rock series of the Datangpo Formation, Nanhua System, the F3 fault, and the stratiform orebodies. The model can effectively verify the reliability of raw data and validate the spatial relationships between structures and orebodies.【Conclusion】The proposed method significantly improves the accuracy of deep ore prospecting deployment and resource evaluation.
Study on the hydrochemical characteristics and heat-accumulation mechanisms of karst geothermal reservoirs in Pingdingshan Coalfield
NIU Zehua, LI Jiexiang, WANG Man, JIAO Huice, QIN Pei, LI Hankun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604066
Abstract:
【Objective】Sedimentary basin-type geothermal systems host the most widely distributed and potentially vast geothermal energy resources in China. For a long time, however, there has been a lack of in-depth domestic research on the hydrochemical processes of geothermal fluids in low-to-medium temperature non-silicate reservoirs, as well as the applicability of traditional geothermometers.【Methods】Taking the Pingdingshan Coalfield as an example, based on hydrochemical data measured from 16 deep boreholes, this study investigated the hydrochemical processes of the deep karst geothermal water using hydrogeochemical approaches in combination with the in-situ hydrogeological conditions and geothermal geological background.【Results】The results demonstrate that the water-rock interaction equilibrium degree of the deep karst geothermal water in the study area is remarkably low relative to silicate minerals, indicating that traditional hydrochemical geothermometers cannot be utilized to estimate its deeper reservoir temperatures. Furthermore, the dissolution of dolomite and calcite constitutes the main source of Ca and Mg in the deep karst geothermal water in Pingdingshan. Simultaneously, hydrochemical evidence indicates that the deep geothermal water near the No.2 and No.11 coal mines may primarily originate from the direct recharge of surface water or meteoric water.【Conclusion】The geothermal anomaly zone located in the Cambrian limestone bulge area of the Pingdingshan Coalfield mainly relies on deep terrestrial heat flow for conductive heating, without any direct influence from additional heat sources such as magma. Local convection occurs within the karst geothermal reservoir, thereby forming a composite geothermal system superimposed by sedimentary strata and latent bulges. This study clarifies the hydrochemical processes of the karst geothermal water, as well as the heat sources and heat-accumulation and control mechanisms of the geothermal system in this area, which provides a crucial scientific basis for the subsequent rational development and utilization of local geothermal resources. In addition, it also enriches the applicability theories of traditional geothermometers for low-to-medium temperature non-silicate reservoirs.
3d fracture network seepage simulation of rock mass based on real terrain
SHI Chao, LI Tongtong, YAO Chi, HU Hanyu, SUN Zhejie, HE Chen
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604038
Abstract:
【Objective】 The combined use of Digital Elevation Model (DEM) and Discrete Fracture Network (DFN) enables seepage simulation of complex fractured rock masses at the regional scale, but existing methods still face significant challenges in computational mesh generation and regional-scale fracture-bedrock coupling modeling. 【Methods】Based on the Equivalent Matrix–Discrete Fracture Network (EMFN) model, a high-precision modeling method suitable for seepage analysis of fractured rock masses at the regional scale is proposed by introducing the Computational Geometry Algorithms Library (CGAL) and Constrained Delaunay Triangulation (CDT) technology. The DEM elevation data extraction process is optimized to conduct dense sampling in key areas for preserving topographic details; combined with 3D surface mesh reconstruction and fracture network generation based on geostatistical laws, a complete technical chain from original DEM data to numerical seepage calculation is realized. 【Results】The constructed computational mesh is characterized by uniform size and high topological quality. The effectiveness of the proposed model is verified by comparing its results with those of COMSOL in a typical crossed-fracture case, and the model is further applied to a seepage engineering case of a coastal mountain fractured rock mass. The modeling results show that the proposed DEM–DFN coupled model can effectively characterize the seepage field characteristics at the mountain scale: groundwater converges and discharges toward low-altitude and coastal low-lying areas along the terrain slope, and the overall hydrodynamic pattern is consistent with the regional hydrological cycle laws. 【Conclusion】The DEM mesh conversion and model adaptation technologies proposed in this paper effectively improve the modeling limitations of traditional methods under complex terrain conditions, and significantly enhance the simulation accuracy and engineering applicability of fractured rock mass seepage.
LIU Yuansheng, WANG Ying, WANG Yue, LI Yajun, YAN Guokai
, Available online  , doi: 10.19509j.cnki.dzkq.tb202606030
Abstract:
Aniline, as a highly toxic, persistent, and chemically stable semi-volatile organic contaminant, presents a significant challenge in the efficient remediation of contaminated sites. This study provides a comprehensive review of the sources, characteristics, and detection methods of aniline contamination, and systematically discusses remediation strategies and techniques based on different concentration zones. These include physico-chemical synergistic remediation technologies for high-concentration areas, microbiological remediation methods for medium and low-concentration areas, and risk management measures for low-concentration zones. Furthermore, the study highlights the key issues currently faced in the field of remediation and offers an outlook on future trends, aiming to provide theoretical insights and technical support for the scientific and precise management of aniline-contaminated sites.
Spatial variability of soil salinity profiles in cotton field under mulch drip irrigation
CHEN Wenling, PENG Shiya, LIU Yanfeng, WANG Jianjun
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602018
Abstract:
[Objective] Soil salinization is one of the important affecting factors to agricultural development in arid area. Soil salinity has strong spatial variability. Xinjiang is located in the northwest of China and belongs to the arid to semi-arid area. The mulched drip irrigation technology is widely adopted to save irrigation water. However, the land salinization in Xinjiang region is severe. Therefore, studying the spatial variation characteristics of soil salinity under drip irrigation under film is of great scientific significance for efficient water conservation and salt control in the arid area of Xinjiang. [Methods] In order to study spatial variability of soil salinity in cotton field under mulch drip irrigation, we conducted field experiments to monitor the soil salinity profiles at small scale in Paotai experiment station and Bazhou experiment station, and applied statistical and geostatistical methods to analyze the characteristics of soil salinity profiles based on the soil-water flow system in cotton field under mulch drip irrigation. [Results]The results indicated that the variation coefficient of soil electrical conductivity in the three profiles was about 0.54~0.76. The variation of topsoil electrical conductivity was largest, and the degree of spatial variability decreased with depth. Soil electrical conductivities had a strong spatial correlation in the three sections. Spatial variability was mainly caused by structural factors, and random factors accounted for 3.53%, 5.03% and 6.61%. Soil electrical conductivity characteristics across the profile exhibit low conductivity in shallow layers, moderately high conductivity in intermediate zones, and high conductivity in deep layers. Horizontally, conductivity is higher near drip lines, between plastic mulch strips, and in wide rows, which correlates with factors such as water flow systems and soil particle composition. The soil salinity of cotton field in Paotai experiment station was higher than that in Bazhou experiment station. The soil electrical conductivity was higher than 7.7 mS/cm, which had a negative effect on the cotton. [Conclusion] The research can provide scientific guidance for high efficiency of water and soil saving measures in arid area and application of precision agriculture.
li huawei, yang guoyong, nie qianwen, WANG Yazhou
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604015
Abstract:
To accurately assess the soil water-holding capacity of urban green spaces, the topsoil from park green spaces in six cities of Henan Province was selected as the research object. Physicochemical indicators such as dry bulk density (DBD), saturated water rate (SWR), particle composition, and saturated hydraulic conductivity (Ks) were determined through field sampling. Multiple linear regression and random forest models were constructed to predict Ks, and a comprehensive evaluation of water-holding capacity was conducted by combining the entropy weight method, CRITIC method, and improved game theory-based combined weighting method. The results showed that the soil silt content in the study area was the dominant particle fraction, and significant spatial variability was observed in Ks. The random forest model exhibited the optimal prediction accuracy (R=0.979, RMSE=3.077 for the test set), while the multiple linear regression model (R=0.936, RMSE=16.40) also outperformed the classic pedo-transfer functions considerably. The combined weight results indicated that DBD (weight: 28.69%) was the primary factor affecting water-holding capacity, followed by sand content (weight: 16.90%) and SWR (weight: 15.34%). The regional water-holding capacity scores revealed that wetland and natural park areas had relatively high scores, whereas urban squares and roadside green spaces had lower scores. The prediction models and evaluation methods established in this study can provide a scientific basis for optimizing the hydrological functions and implementing hierarchical management of urban green space soils.
Spatiotemporal dynamics of water, salt, and heat in the root zone of cotton fields under mulch drip irrigation in southern Xinjiang
JIN Tong, LIU Yanfeng, ZHAO Feng, JI Haoran
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604021
Abstract:
[Objective] To investigate the soil water flow system pattern and its influence mechanism on the dynamic characteristics of soil water, salt and heat in the root zone of cotton fields under mulched drip irrigation in southern Xinjiang. [Methods] Field irrigation experiments under freshwater and brackish water conditions were conducted at the Water Conservancy Research Institute of Bayingolin Authority of Tarim River Basin, in Korla City. High frequency and high spatial resolution monitoring of soil water, salt and heat dynamics in the root zone was carried out using portable instruments and in-situ real-time monitoring devices, to analyze the soil water flow system pattern. [Results] During one irrigation period and the entire growth period, the variation trends of soil moisture under freshwater and brackish water treatments were generally consistent. The variation amplitude of soil moisture in the shallow layer (0-30 cm) was significantly higher than that in the deep layer (30-65 cm). Under the combined effects of drip emitter water supply, soil evaporation, and root water uptake, a soil water flow system structure was formed, with the drip emitter acting as the “source” and inter-mulch evaporation and root uptake as the “sink”. Soil salinity was redistributed with water movement. Influenced by plastic mulching, soil texture, and structure, salt mainly accumulated at depths of 15-30 cm beneath the mulch gaps and 5-15 cm beneath the wide rows. Soil temperature in the shallow layer exhibited significant diurnal variation due to the warming effect of plastic mulch, especially in wide-row areas, forming hydrothermal potential gradients that promoted lateral water movement and localized salt accumulation. In contrast, the deep soil temperature showed smaller fluctuations and remained relatively stable. [Conclusion] The study reveals the control mechanism of the soil water flow system on water-salt-heat dynamics under mulched drip irrigation, and provides a scientific basis for precise regulation of water and salt in the root zone.
Study on the mechanical properties of gypsified sandstone from the mahalagou formation in the xining basin under water immersion conditions
SUN Qiye, WANG Defu, LIU Yabin, LI Huatan, DOU Zengning, YING Chunye, LI Guozhang
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604023
Abstract:
[Objective] Paleogene red beds are widely distributed in the Xining Basin. Clarifying the deformation and failure characteristics of red beds under water immersion conditions, as well as their underlying mechanisms, can provide theoretical support for the prevention and control of geological hazards such as collapse and landslide in red-bed areas, as well as for related engineering construction. As one of the main lithological components of the red beds in this region, the gypsified sandstone of the Mahalagou Formation plays a crucial role in controlling the stability of red-bed slopes. [Methods] In this study, gypsified sandstone from the Mahalagou Formation was selected as the research object. Triaxial compression tests under different soaking durations were conducted to analyze the effects of soaking time and confining pressure on the deformation and failure characteristics of the gypsified sandstone. Combined with scanning electron microscopy (SEM) observations and ion composition analysis of the soaking solution, the material loss characteristics of the gypsified sandstone under immersion conditions were identified, and the deterioration mechanism of its mechanical properties was further discussed. [Results] The results show that, with increasing soaking time, the failure mode of the gypsified sandstone exhibits a significant transition from brittleness to ductility, while the compressive strength and elastic modulus both show a marked attenuation trend, accompanied by a continuous extension of the plastic deformation stage. The cohesion decreases exponentially with increasing soaking time, whereas the internal friction angle shows only slight fluctuations overall. The failure mode of the gypsified sandstone is jointly controlled by soaking time and confining pressure. The dried specimens are dominated by single shear failure, which gradually evolves into tensile-shear composite failure and even tensile failure after soaking. Although confining pressure can inhibit the propagation of oblique primary cracks and enhance the plastic deformation capacity of the gypsified sandstone, it cannot reverse the water-induced deterioration process. Analysis of the ion composition of the soaking solution confirms that cementing materials such as calcium sulfate in the gypsified sandstone undergo dissolution and loss. SEM observations further indicate that the dissolution of the gypsified sandstone is the key deterioration factor responsible for the sharp decline in its mechanical strength. [Conclusion] These findings reveal the water-induced deterioration characteristics of gypsified sandstone in the Mahalagou Formation and provide a theoretical basis for the prevention and control of geological hazards on red-bed slopes in the Xining Basin, as well as for the design and construction of related infrastructure projects.
Joint Mercury-Injection Porosimetry–NMR Evaluation and Sweet-Spot Identification of High-Clay Siltstone Interlayers: A Case Study of Well PⅡ in the Qing-1 Member, Gulong Depression
shi huanshan, HU Wangshui, LI Tao, LI Yibo, LI Shanshan, XIU Jingze
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605039
Abstract:
The high-clay siltstone interlayers of the Qing-1 Member in the Gulong Depression (Songliao Basin) act as key carriers for micro-scale oil migration and local enrichment in shale-oil reservoirs.Under strong clay constraints, the coupling between clay minerals and pore–throat structure often leads to oil-bearing yet immobile behavior.Focusing on within-well applications, we construct a joint evaluation framework combining high-pressure mercury intrusion porosimetry (MIP) and nuclear magnetic resonance (NMR) to clarify the structure-mobility relationship and to establish empirical thresholds for sweet-spot identification.To ensure sample comparability, group-aligned sampling within the same well and lithofacies was adopted and specimens with a Mineral Difference Index (MDI)≤15% were selected.Key parameters include the median pore–throat radius r50, sorting coefficient σ, mercury withdrawal efficiency, the T2cutoff, the saturated movable fluid saturation (SMF), and the saturated geometric mean of T2.A Composite Movable Oil Index (CMOI) was defined and applied as CMOI=So×SMF/100 to unify the assessment of oil content and mobility.CT and SEM observations reveal clay fabrics (films/bridges) that narrow throats and restrict connectivity, providing mechanistic support for the clay-induced reductions in SMF and CMOI.Results show that, under high-clay constraints, the MIP–NMR combination provides good discrimination between movable and immobile fluids; increasing clay content corresponds to smaller r50, poorer sorting, higher displacement pressure, and decreases in SMF and CMOI, while the geometric mean T2 correlates positively with SMF and CMOI and thus captures the combined effects of pore-throat size and relaxation environment.Cross-verification within the well interval yields empirical discriminant thresholds of r50>0.4μm, SMF>40%, and CMOI>20%, which show good indicative performance for sweet-spot intervals in Well PⅡ and support the subdivision of sweet spots into A/B/C types according to pore–throat quality and mobility.These thresholds and conclusions apply only to this well interval and lithofacies and are not extrapolated regionally;statistical relationships constrained by limited sample size are used for trend indication only.This work establishes a within-well workflow of “MIP–NMR joint evaluation with CT/SEM-supported, CMOI-based sweet-spot identification”, providing practical guidance for method selection and sweet-spot ranking in high-clay siltstone interlayers.
From Water Block Entrapment to Kinetic Activation: Interfacial Cascade Mechanism of Nonionic Surfactant-Driven Methane Desorption in Coal Rock
WANG Chengwang, XU Xingguang, jin xin, FU Haijiao, chen gaojie, guo shiyuan, jiang qingling, WANG Xingjin
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604065
Abstract:
【Objective】The desorption efficiency of coalbed methane is the key to efficient development. Macroscopic experiments are difficult to reveal the microscopic interface interaction mechanism between surfactant and coal rock, water and methane, which limits the in-depth understanding of the mechanism of enhanced gas recovery. 【Methods】 A coal-surfactant-water-methane composite system was constructed by molecular dynamics simulation. The adsorption behavior of three non-ionic surfactants (Tween80, Span80, OP4) on the surface of three coals (DJ_1, DJ_2, DJ2_2) and the regulation mechanism of methane desorption were studied. The simulation conditions are 353 K and 20 MPa. 【Results】 Surfactant forms an adsorption layer on the surface of coal rock through van der Waals action: Tween80 single molecule has more atoms and the strongest van der Waals force; span80 and OP4 have simple structure and are easy to enter the pore competition water level point. The surfactant weakens the interaction between methane and coal rock, which increases the free energy of methane adsorption and shallows the potential well, resulting in “thermodynamic repulsion effect”. At the same time, it competes for hydrogen bond sites, destroys the continuity of the water film, relieves the water lock effect, and improves the diffusion coefficient of water molecules. Radial distribution and number density analysis show that methane is “structurally exfoliated” from the adsorption layer as a free state. The free energy curve confirms that the surfactant has a universal repulsive effect on methane and has a coal-rock dependence on the effect of water (DJ_2, DJ2_2, the water molecular potential well deepens). The contact angle simulation showed that the contact angle decreased by 33 ~ 44 ° after treatment, and OP4 had the best effect in DJ2_2(from 59.5 ° to 15.5 °). 【Conclusion】 Surfactant adsorbs on the surface of coal rock through van der Waals action, competes for the hydrophilic water level point, reconstructs the coal-water interface, destroys the continuity of water film and relieves the water lock effect. Weaken the methane-coal rock interaction and strip the adsorbed methane; improve the wettability of coal rock and reduce the contact angle. The cascade mechanism of “competitive adsorption-water film destruction-wetting improvement-methane desorption” is realized, which provides a theoretical basis for the optimization and compound design of surfactants for chemical enhanced coalbed methane mining.
Hydrogeochemical Characteristics of Spring Water in the Babaozhen Fault Zone, Qilian Mountains
王 赛飞, WANG Andong
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603044
Abstract:
【Objective】The northeastern margin of the Qinghai-Tibet Plateau is characterized by well-developed fault structures, and fault intersection zones are favorable sites for geothermal system formation. However, the sources, evolution mechanisms, and extent of cold water mixing of geothermal fluids in these areas remain unclear. 【Methods】Taking the fault intersection zone in Babaozhen, Qilian County as the research object, this study quantitatively investigated the hydrogeochemical characteristics and cold water mixing ratios of spring water in the fault zone through hydrochemical analysis, hydrogen and oxygen isotope tracing, and silica-enthalpy mixing model. 【Results】The results indicate that deep geothermal water is of Cl-Na·Ca type, while spring water evolves to Cl-Ca·Mg type. The hydrogen and oxygen isotopic characteristics are generally consistent with those of the Qilian Mountains area, with an average deuterium excess of 24.3‰. Combined with the average recharge elevation being 375 m higher than the outlet elevation, this indicates that the recharge source is high-altitude atmospheric precipitation and snowmelt water, and the fluids have experienced medium-deep circulation. For the first time, this study quantitatively reveals that the cold water mixing ratio of spring water in the fault intersection zone reaches as high as 89.1%-93.8%, with a reservoir temperature of approximately 113°C. The intense mixing is the fundamental reason for the low spring water temperatures (7-13°C). 【Conclusion】Based on these findings, a genetic model of "medium-temperature deep circulation, fault-controlled upwelling, and intense shallow mixing" is proposed: high-altitude precipitation infiltrates along the fault system, is heated by regional terrestrial heat flow during medium-deep circulation, then ascends along the fault zone, undergoes intense mixing with shallow cold water within the fault zone, and eventually emerges as low-temperature spring water at the surface. This study reveals the key controlling role of fault intersection structures in the "deep circulation-shallow mixing" process of geothermal systems, providing theoretical reference for geothermal resource exploration in similar tectonic zones on the northeastern margin of the Qinghai-Tibet Plateau.
, LI Quanhou
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603019
Abstract:
For the S-well series in the N Block of the Daqing Oilfield, well-logging curves commonly exhibit amplitude shifts, heterogeneous noise morphologies, and distribution drifts under multi-well and multi-interval conditions. As a result, conventional threshold-based cross-plots, feature engineering pipelines, and standard deep networks often fail to simultaneously achieve cross-well consistency, stratigraphic-boundary sensitivity, and physical interpretability. To address this challenge, we propose GeoDiff-Former, a unified-interpretation framework that integrates “curve normalization—stratigraphic representation—multi-task interpretation” into an end-to-end jointly optimized workflow. The method first introduces a conditional diffusion-based normalization module that models non-geological noise and acquisition-related drift as a learnable and reversible generative process, enabling task-driven adaptive distribution alignment and preventing acquisition effects from being mistaken as geological variations. It then constructs a geology-biased Transformer encoder, where relative-depth bias explicitly injects stratigraphic continuity and boundary discontinuity into the attention computation, strengthening stable characterization of thin interbeds and boundary-dominated intervals. Finally, a multi-task prediction head jointly performs facies classification, porosity inversion, and water/engineering-indicator discrimination, while a rock-physics consistency constraint is incorporated to suppress non-interpretable solutions and improve the reliability and practical utility of the outputs. The results demonstrate that GeoDiff-Former achieves more robust cross-well transfer and more coherent interval-wise interpretation in complex reservoirs, providing an innovative yet deployable deep-learning pathway for intelligent unified interpretation of well-logging data.
Knowledge Graph-Driven Construction of Intelligent Agents for Rock and Mineral Spectral Analysis and Geological Mineralization Reasoning
ZHANG Zhaokun, DING Yaxin, DONG Hang, WANG Sheng, HAN Wei
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604008
Abstract:
[Objective] Aiming at the challenges that physical signals and geological semantic logic are difficult to synergistically represent in spectral analysis of rocks and minerals, and that existing methods are prone to evidence chain breakage and opaque reasoning in complex scenarios, this paper constructs a geological agent driven by a knowledge graph named RMS KG Agent. It aims to achieve an integrated intelligent analysis covering rock and mineral element description, metallogenic environment inference, and spectral localization of rocks and minerals. [Methods] The system adopts a hierarchically decoupled architecture that integrates a data persistence layer, a computational reasoning layer, and an interactive presentation layer. Centered on Neo4j, it constructs a knowledge graph of five dimensions covering rocks, minerals, chemical compositions, absorption features, and metallogenic environments. Combined with physics aware spectral continuum removal and feature extraction methods such as peak position, peak depth, and full width at half maximum, a task scheduling mechanism is designed. This mechanism prioritizes the knowledge graph, applies rules and physical constraints as secondary steps, and utilizes a large language model for final organization, ultimately developing three core functional modules: soil and rock element description generation, metallogenic environment inference, and spectral localization of rocks and minerals. [Results] The system functionality verification demonstrated that all modules were able to stably produce analytically coherent results with complete structural organization, standardized terminology, and rigorous evidence support. In the spectral localization ablation experiments, the full intelligent-agent configuration achieved Acc@1, Acc@3, and MRR values of 0.8523, 0.8554, and 0.8677, respectively, substantially outperforming the baseline settings that relied solely on peak positions or on the combination of peak positions and absorption depth. In addition, in the comparative experiments on knowledge-driven text generation, the knowledge-graph-enhanced baseline large language model achieved an evidence support ratio of 0.8703, markedly exceeding the 0.4447 obtained by the baseline model, thereby demonstrating a strong balance between factual reliability and rigorous textual expression. [Conclusion] The research indicates that the fusion of multidimensional physical properties and reasoning within a closed loop under knowledge graph constraints are crucial for improving the accuracy of rock and mineral spectral localization, suppressing domain knowledge hallucinations, and enhancing the interpretability of geological reports. The RMS KG Agent effectively bridges the complete technical chain from spectral feature perception, rock and mineral entity matching, and metallogenic environment deduction to professional linguistic expression. This provides a reliable methodological reference for the knowledge based evolution of multimodal geoscience big data and intelligent collaborative exploration between humans and machines.
Researchon Strength and Permeability Characteristics of LoessModified by Fly Ash-Polyacrylamide (PAM) Composite System
ZHANG Siyu, XIE Wanli, ZHOU Jiahao, GAO Xuanyu, MA Chen
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605052
Abstract:
[Objective]In response to geohazards such as slope instability and landslides caused by the strong water sensitivity and poor structure of loess in Northwest China, this study investigates loess improvement techniques to ensure the safety of engineering construction and long-term operation. [Methods]In this study, Malan loess from Northern Shaanxi was improved using a fly ash–polyacrylamide (PAM) composite. A systematic experimental program, including direct shear tests, falling-head permeability tests, and scanning electron microscopy (SEM) analysis, was conducted to investigate the effects of different admixture ratios on the shear strength and permeability of the improved loess and to reveal the underlying microstructural mechanisms. [Results]THE RESULTS DEMONSTRATE THAT THE FLY ASH-PAM COMPOSITE SIGNIFICANTLY IMPROVES BOTH THE SHEAR STRENGTH AND IMPERMEABILITY OF THE LOESS. THE OPTIMAL MIX FOR SHEAR STRENGTH WAS FOUND TO BE 10% FLY ASH AND 0.3% PAM, WHICH INCREASED THE COHESION BY 72.2% COMPARED TO UNTREATED LOESS. FOR PERMEABILITY, A MIX OF 5% FLY ASH AND 0.5% PAM ACHIEVED A SUBSTANTIAL REDUCTION IN THE PERMEABILITY COEFFICIENT BY 91.7%. Microstructural analysis reveals that fly ash exerts both physical pore-filling and rigid skeletal support effects, while also generating C-A-S-H gels and ettringite crystals through pozzolanic reactions, which fill voids and cement soil particles. Meanwhile, the long-chain molecules of PAM form a flexible network via an “adsorption–bridging–cementation” mechanism, transforming the soil structure from a disordered arrangement of individual particles into an ordered framework of interconnected aggregates. The synergistic interaction between these components significantly enhances soil compactness and structural integrity, leading to concurrent improvements in mechanical properties and impermeability. [Conclusion]THE FLY ASH-PAM COMPOSITE TECHNIQUE PRESENTS AN ECONOMICAL AND ENVIRONMENTALLY FRIENDLY APPROACH FOR LOESS IMPROVEMENT. THE CLARIFIED SYNERGISTIC ENHANCEMENT MECHANISM PROVIDES A THEORETICAL FOUNDATION AND PRACTICAL REFERENCE FOR ENGINEERING CONSTRUCTION AND DISASTER PREVENTION IN LOESS REGIONS, UNDERSCORING THE METHOD'S SIGNIFICANT THEORETICAL AND PRACTICAL VALUE.
Geological modeling of deepwater gravity flow reservoirs under sparse well conditions
SHI Jiaxin, LI Shaohua, DAI Yunjiao, WANG Hua, LU Changsheng, DING Bingqian, DOU Mengjiao
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604050
Abstract:
[Objective]Deepwater oil and gas fields are typically characterized by sparse wells, large well spacing, and limited seismic data resolution. The sand bodies of deepwater gravity flow reservoirs exhibit multi-hierarchical nesting, with complex spatial distribution and stacking relationships. Conventional modeling methods struggle to balance geological model rationality and model accuracy, posing significant challenges for reservoir characterization and modeling. [Methods]Taking the A Gas Field in the Baiyun Sag, Pearl River Mouth Basin as a case study, this paper proposes a geological modeling method for deepwater gravity flow reservoirs suitable for sparse well conditions. Under joint well-seismic constraints, this method adopts the core concept of "hierarchical constraint and level-by-level nesting". In the first-level modeling, the interpreted channel complex profiles are transformed into a 3D grid through a spatial mapping mechanism, and a combined deterministic and stochastic approach is employed to construct the channel complex model. In the second-level modeling, for the channel complex model, 3D training images reflecting the morphology and stacking relationships of single channels are constructed, and a multiple-point geostatistics algorithm is utilized to finely characterize single channels and mudstones. For the lobe-mudstone complex, an object-based modeling method is adopted to establish the mudstone model. Finally, sedimentary units at all levels are nested and amalgamated according to hierarchical priority to establish a 3D sedimentary facies model, based on which a reservoir petrophysical model is constructed. [Results]Application results demonstrate that, compared with deterministic modeling methods, the proposed method more accurately characterizes the heterogeneity and spatial distribution of sand bodies in deepwater gravity flow reservoirs, significantly improving model accuracy. [Conclusion]This method provides a reliable theoretical basis and technical support for the exploration, development, and decision-making of deepwater gravity flow reservoirs.
, LI Quanhou
, Available online  , doi: 10.19509j.cnki.dzkq.tb202604005
Abstract:
To address the difficulty of accurately predicting porosity parameters and permeability under the condition of continuous logging curves but discrete core measurements in the L-well series of Block N, Daqing Oilfield, a core-constrained porosity-parameter and permeability prediction method based on CCML-KAN is proposed. Using conventional logging curves, including GR, RT, DEN, CNL, and AC, the method jointly constructs point-wise logging responses, gradient features, local statistical features, and multi-scale energy features, while introducing sparse core-point constraints to strengthen the mapping between logging responses and true petrophysical parameters. On this basis, a collaborative CCML-KAN framework with shared representations and dual output branches is developed to achieve joint modeling and continuous prediction of porosity parameters and permeability. Comparative experiments are conducted against 1D-CNN, LSTM, BiLSTM, CNN-BiLSTM, and Transformer. The results show that the proposed method achieves superior predictive performance on the test set, with an R2 of 0.926 for porosity prediction and 0.911 for permeability prediction. In addition, it demonstrates strong discriminative capability in the integrated porosity-permeability classification task. The study indicates that CCML-KAN can effectively integrate multi-scale logging information with core constraints, providing an effective approach for fine prediction and comprehensive evaluation of reservoir porosity and permeability parameters.
, HUANG Yong
, Available online  , doi: 10.19509j.cnki.dzkq.tb202605033
Abstract:
The accurate calculation of hydrogeological parameters is a prerequisite for the design of engineering schemes and numerical simulation of groundwater. In order to ensure the safety of construction, it is necessary to investigate the impact of Yangtze River tides on hydrogeological parameters. To illustrate, the Zhang Jinggao Yangtze River Bridge South Anchor Pit Project is employed as a case study. Utilising the observed Yangtze River tides, the daily high tide and low tide data from Tiansheng Tide Station, and the observed aquifer water level data, the lagging effect of aquifer water level on the Yangtze River tides is investigated through the application of cross-wavelet transform and wavelet coherence methods, with the data from the pumping test subsequently corrected. The findings indicate that the water level of the phreatic aquifer and confined aquifer exhibits a lag of 4.5-6 and 12-13 hours, respectively, in relation to the Yangtze River tides. Additionally, the Yangtze River tides exert a relatively diminished influence on the pumping test of the phreatic aquifer. However, the hydrogeological parameter calculations for the confined aquifer's three phases exhibit discrepancies, with errors reaching 11.09%, 6.75%, and 9.39%, respectively. It is therefore evident that the influence of tides must be taken into account in the calculation of hydrogeological parameters for the adjacent tide-sensitive river section..
Prospects for Microstructural Mechanical Mechanisms and Performance Control Strategies in Deep Rock: From Passive Response to Active Design
YANG Wanting, LIU Zhichao, LIU Zhihui, DAI Huahui, YIN Dejiang, WANG Weixu, JIANG Guosheng, NING Fulong
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603048
Abstract:
In response to major strategic needs such as national resource and energy security, and to develop the capability to tap into deep-seated resources, ensure safety, and expand spatial reach, exploration technologies are gradually extending into the deep-to-ultra-deep domains. The high-temperature, high-pressure environments in which rocks are subjected significantly alter their microstructures and morphological characteristics, resulting in complex macroscopic and microscopic mechanical responses that pose severe challenges to engineering safety and resource development. This paper systematically reviews the mechanisms of rock microstructural evolution under high-temperature and high-pressure conditions, advanced experimental observation techniques, multi-scale mechanical modeling methods, and active performance control strategies. Existing research indicates that the coupled effects of temperature and pressure induce mineral phase transformations, drive the evolution of microcrack networks, and reorganize internal stress chain structures; these microscopic changes are the core mechanisms governing rock strength, deformation, and permeability properties. By integrating multidimensional characterization techniques such as scanning electron microscopy (SEM), nanoindentation, micro-CT, and Raman spectroscopy, it is possible to achieve a detailed analysis of mineral composition, microcrack systems, and three-dimensional structures. Building upon this, a quantitative predictive bridge linking microstructure to macroscopic properties has been established using homogenization theory, thermo-mechanical coupling models, and multiscale simulation frameworks. Furthermore, through active strategies such as heat treatment, chemical regulation, and intelligent monitoring based on microstructural information, it is possible to achieve the active design and performance optimization of rock microcrack networks. These insights provide new scientific approaches and technical support for the safe and efficient implementation of major national projects, including scientific drilling, deep resource development, and high-level radioactive waste disposal. In the future, overcoming the technical bottlenecks in deep in-situ dynamic observation and developing intelligent prediction models that integrate physical mechanisms with artificial algorithms will be key to advancing deep rock mechanics toward greater precision and intelligence.
A 3D Reconstruction Method for 2D Geological Profiles Guided by Well Trajectories
LU Changsheng, LI Shaohua, shi jiaxin, dou mengjiao, WANG Lixin, han maozhou
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602026
Abstract:
In traditional sedimentary facies modeling workflows, it is often difficult to directly utilize two-dimensional geological profiles interpreted by experts for three-dimensional model construction. Typically, layer-by-layer property assignment to 3D grids relies on cumbersome manual interactions, which are not only time-consuming and inefficient but also prone to introducing subjective errors, leading to model deviations and compromising the reliability and engineering applicability of the final results. To address these challenges, this paper proposes a well trajectory-guided method for the three-dimensional reconstruction of two-dimensional geological profiles. By establishing a spatial mapping relationship between image pixels and 3D corner-point grid cells, the method leverages the spatial anchoring capability of well trajectories to automatically project interpretation results onto 3D models and assign corresponding attributes. This approach enables the direct integration of expert knowledge into the modeling process and significantly enhances automation. A supporting software system is developed based on the proposed algorithm, incorporating key functional modules such as profile image preprocessing, stratigraphic boundary and sedimentary facies identification, spatial positioning, and attribute conversion. The method is applied and validated in a modeling example of a meandering river point-bar lateral accretion body influenced by tidal processes. The results demonstrate that the proposed approach can accurately and efficiently map 2D interpretation data onto 3D geological models, providing reliable prior constraints and data foundations for subsequent high-precision modeling. Moreover, it improves modeling efficiency, enhances geological consistency, and reduces structural uncertainty in complex sedimentary environments.
Preliminary Study on the Relationship of Strength and Electrical Resistivity for Hydrate-Bearing Sediments
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250553
Abstract:
[Objective]A large amount of methane hydrate exists in the South China Sea. To safely and efficiently exploit this new energy source, it is necessary to fully understand the mechanical properties of hydrate-bearing sediment. [Methods]As a geotechnical test analysis method, the electric resistivity method plays an irreplaceable role in the study of geomaterials such as unsaturated soil, expansive soil and frozen soil. Based on the grain distribution of the methane hydrate-bearing sediment in the Shenhu area of the South China Sea, the experimental soil was artificially prepared, and the tetrahydrofuran hydrate-bearing sediment sample was prepared at an appropriate temperature. The whole process of stress-strain-resistivity of hydrate-bearing sediment sample was obtained by uniaxial compression test and resistivity test.[Results]The test results show that: (1) the uniaxial compressive strength and stiffness of hydrate-bearing sediments increase with the increase of saturation, and the peak strain corresponding to the peak strength increases with the increase of hydrate saturation; (2) the stress-strain-resistivity curve of hydrate-bearing sediment mainly goes through three stages: the elastic phase (reduction in resistivity); the plastic phase (slowly increase in resistivity); the strain-softening phase (sharp increase in resistivity), and the internal structure, the
Sericite Rb-Sr age of the Dongtaozikou gold-molybdenum deposit in the Jialu Area, Xiaoqinling, and its geological implications
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603014
Abstract:
The Xiaoqinling region, as the second-largest gold producer in China, is rich in mineral resources. However, the lack of robust metallogenic age constraints has hindered the understanding of ore genesis and regional metallogenic patterns. In recent years, significant deep exploration progress has been made in the Jialu area of the western Xiaoqinling, where the newly discovered Dongtaozikou gold-molybdenum deposit is characterized by intense potassic alteration and a distinctive gold-molybdenum paragenesis, distinctly different from the traditional quartz-vein gold deposits and alteration-type gold deposits dominated by sericitization in the region. Based on detailed field geological surveys and petrographic observations, this study conducted in situ micro-scale Rb-Sr isotopic geochronological analysis on hydrothermal sericite closely associated with gold-molybdenum mineralization in the Dongtaozikou deposit. Two sericite samples yielded Rb-Sr isochron ages of 140 ± 6 Ma and 141 ± 6 Ma, indicating an Early Cretaceous mineralization age. Integrated with regional tectonic-magmatic events, this study proposes that the formation of the Dongtaozikou gold-molybdenum deposit is closely related to crust-mantle interaction under large-scale lithospheric extension and thinning of the North China Craton, triggered by the subduction of the Paleo-Pacific Plate during the Early Cretaceous. Deep-sourced fluids enriched in ore-forming elements migrated upward along ore-controlling structures such as the Xunmadao Fault under regional extension and precipitated at sites of abrupt physicochemical changes. This study not only provides precise geochronological constraints for gold-molybdenum mineralization in the western Xiaoqinling and reveals its unique metallogenic geodynamic setting but also highlights the significant exploration potential in the deep sections of the Xunmadao Fault zone. The findings are of great importance for advancing gold metallogenic theory along the southern margin of the North China Craton and guiding regional mineral exploration.
Research on exploration methods for concealed geothermal resources in the hilly and mountainous areas of Fujian province
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603021
Abstract:
【Objective】Concealed geothermal resources in hilly and mountainous areas are buried deep underground, posing significant challenges for exploration and high investment risks. To date, there remains a lack of well-established experience in exploration work, making research into exploration methods critically important.【Methods】Taking a successful case study of concealed geothermal resource exploration in Zhangzhou as the research subject, this paper summarizes the methods and procedures for exploring concealed geothermal resources in hilly and mountainous areas. Based on regional geological, tectonic, and hydrogeological data, along with an analysis of regional hot spring distribution patterns, exploration target zones were delineated. The technical methods and sequence employed included geothermal geological surveys, simplified geophysical surveys, shallow borehole temperature measurements, geophysical exploration, and comprehensive research.【Results】Drilling verification confirmed a well depth of 1188m, successfully accessing concealed geothermal resources at intermediate-to-deep levels. The thermal reservoir lies at a burial depth of 967-1033m, with bottomhole temperatures ranging from 45.7-45.9°C. with a wellhead temperature of 37.7°C and a water yield of 628.82 m³/d (water level drawdown S = 58.65 m). This constitutes a low-temperature hot water resource. The system is of tectonically controlled conduction type, with a north-northeast trending structure as the primary heat-controlling feature. Secondary fractures derived from northwest, north-south, and north-northeast trending main structures serve as water-controlling features. The geothermal fluid exhibits an SO₄-Na·Ca chemical type with a pH of 8.49, mineralization of 244.57 mg/L, metasilicic acid content of 31.2 mg/L, fluoride content of 3.39 mg/L, and radon concentration of 63 Bq/L.【Conclusion】Research findings indicate that intermediate-to-deep hydrothermal geothermal resources can be identified in hilly and mountainous areas under suitable structural settings and hydrogeological conditions. This also validates the effectiveness of the technical methods and workflow adopted in this study within complex geological mountainous regions, providing a reference for exploring concealed geothermal resources in similar mountainous areas.
Lithium Mineralization, Genesis, and Ore-Bearing Potential of Pegmatites in the Jiajika Rare-Metal Ore District, Western Sichuan: Insights from Trace Elements in Quartz
, Available online  , doi: 10.19509j.cnki.dzkq.tb202601032
Abstract:
The Jiajika pegmatite-type rare-metal ore field in Sichuan Province is the largest granitic pegmatite-type lithium-enriched area in China, forming a complete Li–Be–Nb–Ta metallogenic series. To investigate the evolution of pegmatites and the lithium mineralization processes, genesis, and ore-bearing characteristics of the Jiajika rare-metal ore field, this study takes quartz from various types of pegmatite veins in the Jiajika mining area as the research object and applies LA-ICP-MS analytical techniques to determine the trace-element contents of Al, Li, B, Ge, Ti, and P in quartz from five types of pegmatites in the Jiajika rare-metal ore field. The results indicate that variations in the contents of Al, Li, B, Ge, and Ti in pegmatitic quartz, as well as changes in the Al/Ti and Ge/Ti ratios, can effectively reflect the degree of magmatic differentiation. The degree of differentiation and evolutionary development of the pegmatites gradually increases from Type I to Type V, and the evolutionary process can be divided into two stages: the evolution of Type I–III pegmatites is controlled by magmatic crystallization differentiation, whereas Type IV–V pegmatites represent a magmatic–hydrothermal transitional stage, during which rare-metal elements such as Li are enriched. The Li and Al contents in quartz indicate that the deeper parts of the Jiajika ore field still have favorable exploration potential for concealed lithium ore bodies. On the Al/10–Ti–Ge×10 ternary diagram, which reflects the genetic type of pegmatites, all data points of the Jiajika pegmatites fall entirely within the field representing RMG-type pegmatites (formed by crystallization of residual melt after granitic magma evolution), indicating that the Jiajika pegmatites are RMG-type pegmatites.
Quantitative Hazard prediction Approach for Rainfall-Induced Accumulation Landslides Based on Regional Hydrus Model
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602009
Abstract:
【Objectives】The physical-based stability models, such as traditional Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS), have been widely used for predicting the regional rainfall-induced accumulation landslide hazard. However, the linearization processing of the Richards equation leads to deviations in the solution of rainfall infiltration from the actual situation, thereby resulting in low accuracy of regional landslide hazard prediction. 【Methods】 By combining the high-precision advantage of the Hydrus software in solving the Richards equation, a quantitative rainfall-induced accumulation landslide hazard prediction model has been proposed based on the Regional Hydrus Model (RHM). First, the precise pore water pressure is calculated by solving the Richards equation using the Hydrus software. Then the Factor of Safety of each grid within the region is calculated by coupling with the infinite slope model. Finally, the regional landslide hazard is classified to five levels (very high, high, moderate, low, very low), and a comparative analysis is carried out with the traditional TRIGRS model using Receiver Operating Characteristic (ROC) accuracy, actual landslide distribution, and overlap rate of terrain interval distribution. The landslide event in Mibei Village, Guangdong Province from June 10th to 11th, 2019 is selected as an example. 【Results】The results indicate that: (1) the ROC accuracy of the RHM and TRIGRS models is 0.86 and 0.80, respectively, the proportion of actual landslides in the very high and high landslide hazard levels is 38.6% and 49.4%, respectively, indicating that the prediction performance of the RHM method is superior to that of the TRIGRS model. (2) The distribution overlap rate of RHM in key terrain intervals such as elevation, slope and accumulation layer thickness is significantly higher than that of the TRIGRS model, enabling it to more accurately identify the correlation between terrain factors and landslides. (3) The landslides in the study area are controlled by terrain and driven by heavy rainfall, mainly developing in the steep slope zone of valleys with elevation of 300~400 m and slope of 20~35°. The very high and high landslide hazard areas are distributed in strip-like patterns along the steep slopes of the valleys, while the very low and low landslide hazard areas are located on gentle slopes and terraces. 【Conclusions】By employing high-precision numerical solutions for the Richards equation, the RHM overcomes the limitations inherent in the linearized analytical solutions of TRIGRS model. It provides an effective tool for high-precision rainfall-induced accumulation landslides.
Mineralization-alteration and element migration characteristics of Zhenghe ore concentration area in Fujian Province: A case study in Yanpitou polymetallic exploration area
JI Xiangyi, WANG Minfang, XIAO Fan, SHANG Xiaoyu, ZHOU Yan, ZHAO Ruizhe
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20240720
Abstract:
Objective

The Zhenghe area in Fujian Province, southeastern China, is a gold-polymetallic ore concentration region, where magmatic-hydrothermal deposits are well developed and exhibit complex and diverse patterns of mineralization and alteration. However, due to complex geological conditions and limited research, the characteristics of mineralization and alteration remain unclear.

Methods

This study focused on the Yanpitou polymetallic exploration area on the northwestern margin of the Dongkeng volcanic basin. Detailed field geological surveys, drillhole mineralization-alteration zoning, and quantitative alteration analyses were conducted to provide valuable information on wall-rock alteration and geochemistry for further deep exploration.

Results

The results indicated that the Yanpitou area was characterized by both Pb-Zn and Cu-Mo mineralization. With mineralization as the center, alteration exhibits a clear zoning pattern, which could be divided into the following zones: potassic alteration zone, skarn zone, metal mineralization zone, mica schist zone, and hornfels zone. From the potassic to skarnized zone, elements such as Si, Al, TFe (total iron), Ca, and K were depleted. In contrast, from the skarnized and hornfels zones to the mineralized zone, most elements migrated toward the mineralized zone, indicating that the ore-forming fluids were active during mineralization. The results suggested that potassic and skarn alterations were closely associated with mineralization in the Yanpitou polymetallic exploration area, and the mica schist zone was also linked to mineralization.

Conclusion

Based on previous research, a mineralization-alteration zoning model for the Yanpitou polymetallic exploration area was established. The results indicate significant potential for deep exploration. Future exploration should focus on the northwestern direction toward the Huangshegang area in the Yanpitou region, where extensive skarn deposits occur within the Tieshan complex.

, Available online  , doi: 10.19509j.cnki.dzkq.tb202603049
Abstract:
[Objective] Global landslide models often ignore spatial heterogeneity and feature redundancy in complex gorge reservoirs, causing local biases. Furthermore, static models lack timeliness, increasing false-negative risks. To enhance accuracy for a lower Jinsha River reservoir, we propose a novel assessment method integrating spatial heterogeneity partitioning, feature selection, and dynamic InSAR deformation for correction. [Methods] First, the AGNES (agglomerative nesting) clustering algorithm was used to divide the study area into homogeneous sub-regions, and Geodetector was applied to optimize regional hazard factors. Then, hazard assessment models were constructed using multi-grained cascade forest (gcForest) and random forest (RF) algorithms. Finally, SBAS-InSAR (small baseline subset interferometric synthetic aperture radar) was utilized to extract surface deformation information, correcting the initial assessment via a hazard correction matrix. [Results] The gcForest model, accounting for spatial heterogeneity and feature optimization, achieved the best predictive performance with an AUC of 0.954. After introducing InSAR data for correction, the area proportion of low-hazard zones decreased by 17.29%, while medium-, high-, and extremely high-hazard zones increased by 14.46%, 2.48%, and 0.35%, respectively. Case validations confirmed that the corrected zonation aligns well with macroscopic surface deformations. [Conclusion] Feature optimization based on spatial zonation effectively mitigates spatial heterogeneity. Moreover, integrating InSAR deformation data better identifies potentially unstable areas. This method enhances assessment accuracy in complex environments, providing a reliable reference for disaster prevention in alpine gorge reservoirs.
Rockfall Object Detection on Mountainous Highways Based on Transfer Learning and Multi-Strategy Improvement
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603033
Abstract:
To address the challenges in mountainous highway rockfall detection, including scarce samples, variable target scales, and complex backgrounds that lead to weak model generalization and high miss rates, this paper proposes a YOLOv8-based rockfall object detection model integrating transfer learning and multi-strategy improvements. Firstly, a rockfall image dataset is constructed, covering different lithologies, multi-scale targets, and complex backgrounds, providing diverse support for model training. Secondly, to tackle the few-shot learning challenge, a transfer learning method based on ImageNet pre-training is introduced to avoid overfitting caused by training from scratch. Building on this, a progressive fine-tuning framework is established: the Coordinate Attention mechanism is embedded in shallow networks to suppress complex background interference; the Bidirectional Feature Pyramid Network replaces the original structure to enhance multi-scale feature fusion efficiency and improve sensitivity to small rockfalls; finally, the EIoU loss function is adopted to optimize bounding box regression, addressing inaccurate localization of irregular rockfalls. Experimental results show that compared to the baseline YOLOv8, the proposed model improves precision, recall, and mAP50 by 17.1%, 24.7%, and 17.4%, respectively, while maintaining low computational costs. It significantly reduces missed detections and false alarms of small targets in complex backgrounds. Moreover, the proposed model effectively enhances the detection accuracy and robustness of rockfall targets under few-shot conditions, providing a feasible technical solution for the development of intelligent rockfall monitoring and early warning systems on mountainous highways.
Origin of Abnormal Pressure and Its Significance for Hydrocarbon Accumulation of the Chang 7 Reservoir Group in the Jingbian Area
, Available online  , doi: 10.19509j.cnki.dzkq.tb202601005
Abstract:
The Chang 7 reservoir group in the Jingbian area of the Ordos Basin commonly exhibits abnormal overpressure. However, the pressure source and its spatial distribution remain poorly understood, and the lack of direct formation pressure measurements severely hinders further hydrocarbon exploration in this region. To address these issues, this study utilized well-logging and drilling data to systematically calculate formation overpressure using the balanced depth method, with the reliability of the results verified by the mud density method. The genetic mechanisms were determined through integrated log analysis, Bowers’ method, and acoustic velocity-density crossplots. Results show that the Chang 7 reservoir group is characterized by widespread weak overpressure, with an average residual pressure of 5.85 MPa and pressure coefficients ranging from 1.01 to 1.43. The residual pressure exhibits a "high in the west, low in the east" trend laterally and reaches its peak vertically at the base of the Chang 7 member. Genetic analysis reveals that undercompaction is the dominant overpressure mechanism, accounting for 79% of the total contribution, while hydrocarbon-generation expansion accounts for only 10%, with the remaining 11% attributed to their combined effect. This undercompaction-dominated origin significantly differs from the hydrocarbon-generation-dominated overpressure in the central basin, implying fundamentally different hydrocarbon migration processes and accumulation mechanisms in the Jingbian area. This understanding holds significant theoretical value for re-evaluating the hydrocarbon accumulation patterns in the northern slope of the basin and for establishing an appropriate exploration geological model for the Jingbian area. Furthermore, it provides direct scientific support for the next phase of hydrocarbon exploration deployment in this region.
, Available online  , doi: 10.19509j.cnki.dzkq.tb202601022
Abstract:
[Objective] Aiming at the problems of confusing descriptions and inconsistent coding of multi-source heterogeneous borehole data in urban underground space development, which seriously restrict the accuracy of 3D geological modeling, and addressing the bottlenecks that traditional manual standardization is inefficient and existing models struggle to handle data missing and long-range dependencies, this study aims to establish an efficient data-driven automatic strata standardization method. [Methods]Taking 2, 980 engineering boreholes in the Xiamen area as the research object, a deep learning standardization model based on SparseTransformer is proposed. First, based on relevant codes and Pearson correlation analysis, 12 key discriminative features such as water content and compression modulus are screened. Second, a sparse masking mechanism is designed to dynamically shield missing values during attention calculation, and a combined augmentation strategy of class-aware resampling and structured feature masking, along with the Focal Loss function, is introduced to solve the sample imbalance problem. Finally, strategies such as Bayesian optimization are adopted to achieve hyperparameter optimization. [Results]The results show that the precision, recall, and F1-score of the model on the test set reached 0.85, 0.84, and 0.85, respectively; compared with Random Forest (F1=0.62) and LSTM (F1=0.55), the performance is significantly improved. The confusion matrix shows that the model can effectively capture the stratigraphic sedimentary rhythm, and the classification accuracy for dominant categories such as cohesive soil and silt exceeds 80%. [Conclusion]This method not only breaks through the "forgetting" defect of traditional models in long-sequence geological data modeling but also solves the problem of long-tail distribution of engineering data through data augmentation technology. The research results validate the effectiveness of deep learning in geological data standardization and provide an intelligent data processing paradigm for building high-precision urban-level 3D geological models.
Study on the Impoundment Instability Mechanism of Reservoir Bank Slopes Based on the CFD-DEM Coupling Method
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603036
Abstract:
To reveal the macro-meso scale instability mechanism of reservoir bank slopes during impoundment, this study takes the Shenjiagou deformed mass in the Baihetan Hydropower Station reservoir area as the research object and analyzes its engineering geological conditions and deformation characteristics. On this basis, a coupled numerical simulation method combining the fluid dynamics and discrete element method (CFD-DEM) is employed to establish a numerical model capable of reflecting the hydro-mechanical coupling effects during the impoundment process. The reliability of the coupled model in simulating the deformation response of the reservoir bank slope is verified by comparing the simulated cumulative slope displacement with field monitoring data. The study systematically analyzes the dynamic evolution of the internal seepage field, particle displacement, and micro-cracks throughout the entire process from initial impoundment to water level rise and subsequent slight drawdown. The results indicate that the rapid water level rise during the initial impoundment stage leads to a significant increase in pore water pressure and a sharp dissipation of matrix suction within the slope, which are the key factors inducing slope deformation and controlling its development. The subsequent slight drawdown in water level does not cause significant deformation aggravation and has a relatively limited impact on slope stability. This study reveals the instability mechanism characterized by water level rise-dominated seepage field evolution, progressive adjustment of mesoscopic particle structures, and eventual coalescence into a macroscopic failure surface, providing a theoretical basis for the stability assessment and early warning of reservoir bank slopes during the impoundment phase.
Automatic classification method of rock lithology based on ResNet network and deep transfer learning
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603053
Abstract:
[Objective]To explore the applicability of deep learning frameworks in lithology recognition and address the limitations of traditional methods characterized by low efficiency and strong subjectivity, an automatic classification method for rock lithology based on a ResNet convolutional neural network combined with transfer learning is proposed. Six types of rock images, including granite, marble, quartzite, limestone, coal rock, and sandstone, are selected for experimental analysis. [Methods]A dataset containing 7, 416 rock images is constructed through data augmentation and divided into training, validation, and test sets. In model development, ImageNet pre-trained weights are introduced, and multiple transfer learning strategies are designed. Comparative experiments are conducted on ResNet-18, ResNet-34, and ResNet-50 models. Meanwhile, batch normalization, learning rate decay, and the Adam optimizer are employed to improve network performance. [Results]The results indicate that under small-sample conditions, the fully fine-tuned ResNet-18 model achieves the best performance, with an accuracy of 96.10%, precision of 96.01%, and recall of 96.12%, outperforming the other models. [Conclusion]Compared with the other two models, the proposed model demonstrates higher classification accuracy, faster convergence speed, and stronger robustness in recognizing complex lithological features. It significantly improves training efficiency and successfully realizes automatic lithology classification, providing an effective technical support for geological exploration and engineering applications.
Methane adsorption characteristics and controlling factors of ultra-deep shale of Fengcheng Formation in the Well Pen-1 West Sag, Junggar Basin
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602024
Abstract:
[Objective] The exploration potential of natural gas in the Lower Permian Fengcheng Formation in the western Central Depression of the Junggar Basin has been gradually clarified, and a breakthrough in ultra-deep natural gas exploration has been achieved. However, studies on the adsorption characteristics and controlling factors of ultra-deep shale gas in the Fengcheng Formation remain limited. [Methods] Taking the ultra- deep Fengcheng Formation shale in the Well Pen-1 West Sag as the research object, this study systematically investigates its pore structure, shale gas adsorption characteristics, and controlling factors through integrated analyses, including basic geochemical analysis, field emission scanning electron microscopy (FE-SEM) observation, full-aperture pore structure characterization, spontaneous imbibition experiments, and methane isothermal adsorption experiments. [Results] The results indicate that the Fengcheng Formation shale in the study area primarily develops three lithofacies: mixed, clayey, and felsic shale. All lithofacies are dominated by inorganic pores, among which secondary clay mineral pores are the main type, accounting for over 70% of the surface porosity. The FE-SEM observation reveals the development of macropores, particularly clay mineral macropores, while full-aperture pore structure analysis shows that mesopores are the dominant pore type. The comparison between these results suggests that clay mineral pores are largely disconnected, whereas organic pores, despite their low proportion in total surface porosity, exhibit good connectivity. Methane adsorption experiments demonstrate that the adsorption capacity of mixed and clayey shales is generally higher than that of felsic shales. [Conclusion] Further analysis of pore structure parameters indicates that pore volume, specific surface area, and fractal dimension have weak correlations with adsorption capacity, while pore connectivity serves as the key structural parameter controlling shale gas adsorption. Analysis of the controlling effects of shale components on adsorption characteristics reveals that organic matter abundance is the primary factor influencing the adsorption capacity of the Fengcheng Formation shale, with inorganic minerals playing a limited role. These research findings provide a theoretical basis and scientific support for the exploration and development of ultra-deep shale gas in the Fengcheng Formation of the Well Pen-1 West Sag, Junggar Basin.
Study on the Mechanism of Land Subsidence in the Fengpei Plain Based on a Multi-Scale Geographically Weighted Regression Model
, Available online  , doi: 10.19509j.cnki.dzkq.tb202603004
Abstract:
The problem of land subsidence is relatively prominent in the Feng-Pei Plain of Jiangsu Province, yet research on its driving mechanisms remains scarce. This study integrates multi-source data, including the thickness of unconsolidated sediments, groundwater extraction intensity, groundwater levels and their variations in different aquifer groups, mining activities, and urban construction. A multi-scale geographically weighted regression (MGWR) model was employed to quantitatively analyze the spatiotemporal characteristics and driving mechanisms of land subsidence from 2017 to 2024. The results indicate that subsidence is mainly concentrated around the urban areas of Feng and Pei counties, and the northern part of Pei County. The area with cumulative subsidence exceeding 50 mm is 310 km², with a maximum subsidence of over 400 mm. Significant spatial autocorrelation is observed, with subsidence centers exhibiting a "high-high clustering" pattern. MGWR model results reveal that groundwater extraction and mining activities (x2-x9) are the primary factors driving land subsidence, followed by the influence of groundwater levels in the Lower Pleistocene of Neogene and the amplitude of water level changes in the Middle-Upper Pleistocene and the Lower Pleistocene of Neogene (x5-x7-x8). Conversely, the thickness of unconsolidated sediments, groundwater levels in the Holocene and Middle-Upper Pleistocene, water level amplitude in the Holocene, and building density (x1-x3-x4-x6-x10) do not show significant effects. Across the entire subsidence area, the five factors (x2-x5-x7-x8-x9) collectively explain 77.0% of the subsidence. The Geographical Detector (GD) model further confirmed the synergistic driving effects of groundwater and coal resource extraction and mid-deep water level changes on land subsidence. Compared with the classical GWR and OLS models, MGWR demonstrates superior performance in goodness of fit, model parsimony, and error control, more accurately capturing the spatial heterogeneity and multi-scale characteristics of different influencing factors. Based on the analysis of the spatial heterogeneity and intensity of the main influencing factors, as well as their interactions, an integrated prevention and control system of "monitoring-early warning, source control, and comprehensive management" is proposed. This provides a scientific basis and practical guidance for enhancing regional geological disaster prevention and ensuring the safety of the urban geological environment.
Transfer learning-enhanced physics-informed neural networks for cross-domain groundwater solute transport modeling
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602003
Abstract:
【Objective】Physics-informed neural networks (PINNs) for groundwater solute transport simulation often require retraining when the well-posed (boundary/initial) conditions change, and they are prone to overfitting and training instability under limited data. To address these issues, this study proposes a transfer learning–enhanced framework (TL-PINN) to improve cross-domain generalization and reduce training costs. 【Methods】A source-domain PINN incorporating observation constraints is first established. Physical constraints and regularization terms are introduced into the loss function, and a two-level loss-weighting control mechanism is adopted to mitigate overfitting and enhance generalization. In the target domain, a structural transfer strategy of “shallow-layer freezing and deep-layer fine-tuning” is applied. Two cross-domain scenarios are designed: pollutant source location transfer (Target Domain 1) and flow field direction reversal (Target Domain 2). Different transfer strategies are compared in terms of accuracy (RMSE), physical consistency (mean ADE residual), and training efficiency. Moreover, ADE residuals and error distribution maps are used to evaluate contaminant plume morphological deviations. 【Results】TL-PINN consistently outperforms the PINN trained from scratch in the target domain. Across the two cross-domain scenarios, the full fine-tuning strategy reduces RMSE by approximately 41.3% and 41.2%, respectively, and the best transfer scheme shortens training time by about 60% while maintaining accuracy. For contaminant plume morphology, the PINN trained from scratch exhibits relatively low predictive accuracy, whereas TL-PINN leverages source-domain physical priors to effectively correct morphological biases and markedly improve the consistency of spatial structures. Under data-scarce conditions, when the number of temporal samples is halved, transfer learning reduces RMSE from 0.424 mg/L to 0.287 mg/L, demonstrating strong robustness. 【Conclusion】Physical priors learned in the source domain through equation-residual constraints and flow-field representation can effectively compensate for information loss and improve model stability under sparse spatiotemporal observations in the target domain. The “freeze the first layer + deep fine-tuning” strategy achieves the best balance between predictive accuracy and physical consistency, enabling high-fidelity reconstruction of contaminant plume morphology and location while substantially improving training efficiency. The proposed framework provides an efficient and robust approach for addressing groundwater solute transport simulation challenges induced by changes in boundary conditions or hydrodynamic characteristics.
Genesis and Geological Significance of Magnetite and Ilvaite in the Arqale Pb-Zn-Cu Deposit, Western Tianshan, Xinjiang
, Available online  , doi: 10.19509j.cnki.dzkq.tb202601046
Abstract:
The Arqale lead-zinc-copper deposit is located on the southwestern margin of the Yishijilik metallogenic belt in the Western Tianshan, Xinjiang. The ore bodies occur as stratiform and stratoid shapes within the limestone of the Lower Carboniferous Akshak Formation. This study conducted systematic petrographic and mineralogical identification and electron microprobe composition analysis on magnetite and ilvaite to determine the mineral formation genesis, ore-forming physicochemical conditions, deposit genesis, and prospecting direction. Magnetite in the ore occurs as granular or radial aggregates, with low Ti and V contents and high Al and Mn contents, indicating a formation temperature of 200-300°C. Ilvaite in the ore shows low Fe2+ content but high Mn2+ content, characteristic of manganiferous ilvaite, and formed in a relatively oxidized ore-forming environment. The elemental compositions of both magnetite and ilvaite are similar to those of typical skarn deposits. Combined with the widespread development of skarn minerals such as garnet-hedenbergite-actinolite-ilvaite, this study concludes that Arqale is a distal skarn-type Pb-Zn-Cu deposit closely related to deep concealed magmatism, and speculates that skarn contact zones and iron-copper mineralization may exist at depth.
Investigation of High-Altitude Landslide Deformation Response via Distributed Fiber Optic Sensing: A Case Study of the Longzi Landslide in Shannan,Tibet
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202601018
Abstract:
[Objective] Against the backdrop of global climate warming and frequent heavy rainfall events, the risk of landslide disasters in high-altitude mountainous areas is increasing due to the combined effects of highly sensitive geological environments and engineering disturbances. However, a systematic understanding of landslide triggering mechanisms and evolutionary processes remains lacking. [Methods] To investigate the deformation response characteristics of high-altitude landslides under rainfall, this study focuses on a typical landslide disturbed by road construction at an altitude of 4, 700 m in Longzi County, Shannan, Tibet. An integrated monitoring system fusing distributed fiber-optic sensing with multi-parameter in-situ monitoring was constructed to obtain meteorological parameters, shallow soil temperature, moisture content, and strain data, as well as deep soil strain data from June 14 to September 30, 2024. [Results] The results indicate that: (1) During rainfall events, the shallow soil exhibits a hydro-thermal-mechanical coupled response mode characterized by rainfall infiltration triggering abrupt changes in moisture content and temperature variations, which subsequently lead to strain compression and gradual rebound recovery. Furthermore, under alternating wet and dry conditions, deformation is intensified by the water-conducting effect of fissures; (2) The deep potential sliding surface (Sliding Surface II) shows significant hysteresis in response to rainfall, displaying a strain accumulation effect under hydraulic disturbance. Its evolution follows a typical path where heavy rainfall infiltration induces a lagged deformation response, followed by stress concentration that culminates in a sudden deformation surge; (3) The summer cyclic process involving heavy rain, continuous rain, drought, and re-rainfall constitutes a highly sensitive window for landslide deformation, during which dynamic monitoring and early warning responses should be strengthened. [Conclusion] The fiber-optic intelligent monitoring system for high-altitude landslides established in this study provides key data support and methodological references for risk identification, mechanism analysis, and engineering prevention and control of landslide disasters in the Qinghai-Tibet Plateau and similar hazardous mountainous areas.
Graded Early Warning Method for Tailings Dam Stability Based on Rainfall Monitoring and Reliability Index
, Available online  , doi: 10.19509j.cnki.dzkq.tb202602002
Abstract:
To enhance the timeliness of graded early warnings for tailings dam under rainfall conditions, the variability of effective cohesion, effective internal friction angle, and saturated hydraulic conductivity is considered. Based on the "Geological Hazard Prevention—Slope Engineering Structural Reliability Design Code, " the reliability index values for graded stability warnings of tailings dam are determined. For each warning level’s reliability index, corresponding critical rainfall pattern curves are constructed using a uniform rainfall model, forming a graded early warning zoning map for tailings dam stability based on clusters of critical rainfall pattern curves. Real-time graded warnings are achieved by mapping measured rainfall intensity and duration onto this zoning map. Graded early warning analysis was conducted for a generalized tailings dam using rainfall monitoring data from a provincial meteorological bureau. The study shows that ignoring the variability of saturated hydraulic conductivity underestimates the landslide risk of tailings dam under continuous rainfall. Compared to considering only the variability of effective cohesion and effective internal friction angle, incorporating the variability of saturated hydraulic conductivity reduces the areas of stable, basically stable, and less stable zones by 7.8%, 53.0%, and 64.2%, respectively, while increasing the area of the unstable zone by 14.5%. The proposed method supports real-time graded warnings for tailings dam under rainfall, can be easily integrated with real-time online monitoring systems, and shows good potential for engineering applications.
Sedimentary Characteristics and Controlling Factors of the Open Shoreline in the Bashituo Area
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202601026
Abstract:
The Donghetang Formation in the Bashituo area of the Tarim Basin is dominated by an open shoreline depositional system, characterized by horizontally continuous sandbodies with substantial vertical thickness. Exploration practices have confirmed its favorable hydrocarbon potential; however, the lack of detailed understanding of sandbody sedimentary genesis currently limits the prediction accuracy of favorable reservoirs. Based on core data, experimental results, logging data, and 3D seismic data, this study employs detailed descriptions of core lithofacies, sedimentary structures, and cyclic sequences, combined with grain size analysis, logging facies association classification, and post-stack reconstructed acoustic impedance inversion techniques. The objectives are to determine the affiliation of sedimentary subfacies belts and microfacies types in the study area, characterize the spatial evolution of sedimentary microfacies, and summarize the main controlling factors of sedimentation. The results indicate that: ① The sandbodies of the 4th to 6th sand groups in the lower sandstone member of the Donghetang Formation belong to foreshore deposits, which can be divided into four microfacies types: foreshore bar microfacies (dominated by massive and rhythmic bedded coarse sandstone and pebbly coarse sandstone), bar margin microfacies (dominated by parallel bedded and rhythmic bedded medium sandstone, with interbedded thin-bedded coarse sandstone), sheet-like shoal microfacies (dominated by massive and cross-laminated fine sandstone), and inter-bar bay microfacies (dominated by horizontally bedded, cross-laminated, and massive fine-grained sandstone and mudstone); ② From the 4th to the 6th sand group, the foreshore bars migrated continuously seaward spatially, and the vertical sequence is dominated by retrogradational cycles. The sandbodies at the top of the 6th sand group are predominantly coarse-grained foreshore bar deposits; ③ The spatiotemporal evolution of each microfacies is controlled by two key factors: first, the large-scale regression during the sedimentary period of the study interval, which drove the continuous seaward progradation of foreshore bars and increased the proportion of coarse clastic components in the study area; second, the multi-level slopes in the shoreline zone controlled the formation of breaker zones and constrained the spatial distribution of foreshore bars. Under the combined constraints of sea-level fluctuations and multi-level shoreline slopes, the Bashituo area is endowed with widely distributed thick-bedded foreshore sandbodies, laying a material foundation for hydrocarbon accumulation. The determination of sedimentary subfacies belts, microfacies types, and the clarification of spatiotemporal evolution laws and main controlling factors provide a theoretical reference for the sedimentary analysis of the "Donghe Sandstone" in this area and even the entire Tarim Basin.
Permeability Evaluation Model and Optimization Method for Solidified Soil Cutoff Wall Based on Field Experiments
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202602022
Abstract:
[Objective] Solidified soil is widely used in seepage control engineering. However, the significant spatial heterogeneity caused by mixing uniformity, soil variability, and curing condition differences during construction is often overlooked, leading to considerable uncertainty in seepage control design. [Methods] This study, focusing on the solidified soil cutoff wall project for a coal slag yard, conducted field casting and curing tests. Electrical resistivity data at different spatial positions of the solidified soil were obtained using the high-density electrical method, and combined with permeability coefficients determined from field borehole sampling, an Archie and Kozeny-Carman (KC) coupled model with resistivity as input parameter was constructed to evaluate the permeability coefficient of solidified soil. Based on this, the uncertainties of resistivity data and coupled model predictions were quantified. Transient seepage fields of the cutoff wall were calculated using stochastic numerical simulation methods, and optimal design parameters and operational recommendations for the coal slag yard cutoff wall were proposed based on the statistical characteristics of breakthrough time. [Results] The results show that: resistivity test data follow a log-normal distribution, Archie-KC coupled model errors follow a normal distribution, and breakthrough times of the solidified soil cutoff wall follow a log-normal distribution; the mean and standard deviation of breakthrough time both increase with wall thickness. [Conclusion] The optimal cutoff wall thickness is 3.0 m, and the breakthrough failure probabilities at 10, 15, and 20 days are 0.07%, 3.92%, and 77.15%, respectively.
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202601021
Abstract:

Concealed collapse columns, as typical hidden geological anomalies in coalfields, directly impact coal mine safety and geological hazard prevention through the accuracy of their boundary identification. To address the limitations of traditional single-attribute methods in responding to weak boundaries and suppressing noise, this paper proposes a multi-scale characterization and enhancement method that integrates structure-oriented filtering and frequency-divided coherence attributes. Based on 3D seismic data from a mining area in Shanxi, the structure-oriented filtering technique is first applied, combining gradient structure tensors and anisotropic diffusion equations to effectively suppress random noise while significantly preserving the steeply dipping structural features of collapse column boundaries. Subsequently, short-time Fourier transform is used to perform spectral decomposition on the filtered data, extracting amplitude and phase attributes of multiple single frequencies within the 40–100 Hz range. This systematically reveals the frequency-dependent characteristics of seismic responses at collapse column boundaries: low-frequency (60–70 Hz) amplitude attributes provide good indications for large-scale collapse column outlines, while high-frequency (80–90 Hz) phase attributes exhibit superior sharpening and resolution capabilities for small-scale collapse column boundaries. Furthermore, the eigenvalue coherence algorithm is introduced to quantify formation discontinuities, and a multi-frequency attribute fusion strategy is employed to achieve integrated enhancement and fine characterization of collapse column boundaries in spatial distribution. Practical data applications demonstrate that this method significantly improves the signal-to-noise ratio of seismic data and the accuracy of boundary identification, providing a reliable multi-scale geophysical technique for the detection and interpretation of concealed collapse columns in coalfields.

Multi-method dating constraints of the Wolonggang copper deposit in eastern Jidong and their implications for regional metallogenesis.
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202601034
Abstract:

【Objective】The Qinglong Wulonggang pluton in eastern Hebei, North China, represents a Mesozoic magmatic–mineralization concentration zone within the Yanshanian orogenic belt. Addressing the unresolved issues of the temporal coupling between magmatic–hydrothermal processes at different temperature windows and the unclear contribution of Early Cretaceous tectonic inversion to mineralization, this study aims to clarify the staged links among Mesozoic tectonics, magmatism, hydrothermal activity, and mineralization through multi-system geochronology.【Methods】Samples of the Wulonggang pluton and associated copper mineralization were collected for zircon U–Pb, muscovite40Ar/39Ar, and apatite U–Pb dating, constraining the evolution of high-temperature magmatic emplacement, medium-temperature hydrothermal activity, and low-temperature thermal events, respectively.【Results】ZirconU–Pb dating indicates that the pluton formed during the Middle–Late Jurassic(171–159Ma), corresponding to a crustal thickening stage induced by subduction of the Paleo-Pacific plate, representing a pre-mineralization material accumulation period. Muscovite 40Ar/39Ar ages (159Ma) record medium-temperature hydrothermal activity associated with magmatic emplacement. Apatite U–Pb dating identifies two Early Cretaceous thermal events (136Ma and 112Ma): the former corresponds to the initial stage of regional tectonic inversion from compression to extension, revealing a “fluid-first” feature of the deep system under decompression; the latter coincides with the regional mineralization peak and the craton destruction peak, reflecting thermal resetting and reactivation of the mineralizing system.【Conclusion】The Wulonggang deposit experienced three evolutionary stages: a Middle–Late Jurassic magmatic emplacement and material accumulation stage, an Early Cretaceous initial thermal–fluid activation stage driven by tectonic inversion, and an Early Cretaceous late-stage thermal superposition and mineralization stage. Different geochronological systems reflect geological processes at distinct temperature windows, providing critical temporal constraints for reconstructing the regional metallogenic framework and identifying concealed mineralization systems.

Bayesian inversion of geotechnical parameters and reliability updating for soil-rock composite foundation pits considering stratum strength differences
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202603007
Abstract:

[Objective]In view of the significant uncertainty in geotechnical parameters in deep excavation engineering and the difficulty of traditional site investigation data in accurately reflecting the actual soil conditions after excavation, this study proposes a Bayesian inversion and dynamic reliability updating method for geotechnical parameters by integrating monitoring data. [Methods]By introducing a Bayesian updating framework combined with Markov Chain Monte Carlo (MCMC) sampling, displacement monitoring data of the excavation are utilized to dynamically invert and update the probability distributions of soil cohesion and internal friction angle, effectively reducing parameter variability. On this basis, a quadratic response surface surrogate model is employed to replace time-consuming numerical simulations, and Monte Carlo simulation is conducted to efficiently evaluate excavation reliability, forming an integrated analysis framework of “monitoring-parameter inversion-reliability assessment.” A deep excavation project in Huaihua City, Hunan Province, is taken as a case study to validate the proposed method. [Results]The results indicate that, after incorporating monitoring data, the standard deviations of the posterior distributions of soil parameters are significantly reduced, leading to a notable decrease in geotechnical parameter uncertainty. The failure probability of the excavation calculated based on the updated parameters is less than 10−6, which is much lower than the prior value of 1.9×10−5, and the reliability index is significantly improved, demonstrating that the excavation is in a favorable safety condition. [Conclusion]The proposed method can more realistically reflect the actual safety state of deep excavations and provides an effective tool for risk management and safety assessment during excavation construction.

Astronomical control on the development of marine-continental transitional organic-rich shales during the Late Carboniferous-Early Permian at the Southeast Margin of the Ordos Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202602005
Abstract:

[Objective] The Late Carboniferous–Early Permian marine-continental transitional facies shale gas in the southeastern margin of the Ordos Basin boasts great exploration and development potential, yet the unclear mechanism of organic matter enrichment has severely restricted the sweet spot evaluation of such shale gas. [Method] In this study, a paleoclimatic proxy, the PLIndex, was constructed, and cyclostratigraphic analysis was performed on Well DJ70, a fully cored well in the Daji Block of the basin’s southeastern margin. [Results] The results show that: (1) Stable long eccentricity cycle signals are preserved in the Benxi and Shanxi Formations. Combined with the results of astronomical tuning and high-precision age tie points, an absolute astronomical time scale for the Benxi and Shanxi Formations was established, and 15.5 long eccentricity cycles were identified, corresponding to the division of 15.5 fourth-order sequences. Taking the troughs of the long eccentricity filtering curve as the fourth-order sequence boundaries, a high-resolution fourth-order sequence stratigraphic framework was built. (2) The enrichment of organic matter in the marine-continental transitional facies shales in the southeastern margin of the Ordos Basin is obviously controlled by astronomical cycles. The low-value periods of long eccentricity correspond to arid climates, during which volcanic ash from the Inner Mongolia Uplift could be transported over long distances and deposited by airfall in the Ordos Basin, significantly enhancing the paleoproductivity of the water body. Meanwhile, the sea level was relatively stable in these periods with a suitable water depth, and sediments could be deposited in the minimum value interval of dissolved oxygen saturation within the thermocline, which provided a favorable environment for organic matter preservation and thus resulted in high Total Organic Carbon (TOC) contents in the shales. In contrast, the high-value periods of long eccentricity correspond to warm and humid climates and the transgressive stages of fourth-order sequences, which are unfavorable for the long-distance aerial transportation of volcanic ash and the preservation of organic matter, leading to low TOC contents in the shales. [Conclusion] The differential enrichment of organic matter in the marine-continental transitional facies shales in the southeastern margin of the Ordos Basin is essentially attributed to the fact that astronomical cycles control paleoclimates, which, in conjunction with major geological events, jointly promote the organic matter enrichment process of shales with high productivity and excellent preservation conditions. This model provides a theoretical basis for the prediction of organic-rich shales in the Ordos Basin and North China Basin.

Main controlling factors of coalbed methane well productivity and enrichment–high-yield model of the Xishanyao Formation in the Midong Block, southern Junggar Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202602023
Abstract:

【Objective】The Middle–low rank coalbed methane (CBM) resources of the Xishanyao Formation in the southern Junggar Basin are abundant. However, significant productivity differences among CBM wells in the Midong Block, coupled with an insufficient understanding of the main controlling factors and enrichment–high-yield model, restrict exploration deployment. This study aims to clarify the controlling mechanism of productivity differences in Xishanyao Formation CBM wells and establish an enrichment–high-yield model for the study area. 【Methods】Taking the No. 42–45 coal seams of the Middle Jurassic Xishanyao Formation in the Midong Block as the research object, geological parameters and production dynamic data were integrated to analyze the drainage–production characteristics and gas production stage evolution of wells with different productivity levels. Key parameters including effective coal thickness, gas content, critical desorption–storage ratio, and fracturing scale were selected. The Spearman rank correlation method was used to quantitatively identify the main controlling factors of average daily gas production and maximum daily gas production. Combined with structural zonation and typical well profile comparison, a CBM enrichment–high-yield model was constructed. 【Results】Structurally, the productivity of Xishanyao Formation CBM wells in the study area shows an overall increasing trend from the Badaowan syncline to the northern monocline. In the northern monocline, CBM well productivity is significantly controlled by geological factors: average daily gas production has the strongest correlation with effective coal thickness, while maximum daily gas production is jointly controlled by the critical desorption–storage ratio and gas content. In the Badaowan syncline, average daily gas production is significantly positively correlated with fracturing scale, indicating that engineering stimulation has a key impact on stable production capacity, whereas maximum daily gas production is obviously constrained by the critical desorption–storage ratio and gas content. The movable gas enrichment zone of the Xishanyao Formation in the study area is mainly developed in the intermediate burial depth interval (600–900 m) between the northern monocline and the northern wing of the Badaowan syncline. The spatial coupling of the critical desorption–storage ratio and effective coal thickness determines the occurrence and distribution of high-yield CBM wells. 【Conclusion】The critical desorption–storage ratio and effective coal thickness are the key parameters controlling productivity differences of Xishanyao Formation CBM wells in the Midong Block. The structural background plays a fundamental role in the formation of enrichment–high-yield zones by regulating gas redistribution and the proportion of movable gas. The intermediate burial depth interval, as a superimposed zone of hydrodynamic and structural effects, represents a favorable belt for CBM enrichment and high yield. These research results provide a theoretical basis for favorable area prediction and development deployment in the Midong Block and similar areas.

Integrating Ensemble Machine Learning and Negative Sample Sampling Strategy for Susceptibility Assessment of Rainfall-induced Clustered Landslides
, Available online  , doi: 10.19509/j.cnki.dzkq.tb202512009
Abstract:

  
  Rainfall-induced clustered landslides pose severe hazards in the hilly and mountainous regions of southern China. Landslide susceptibility assessment serves as a pivotal support for disaster prevention and reduction; however, its accuracy is directly constrained by the scientific rationality of evaluation models and the selection of negative samples. Taking the rainfall-induced clustered landslides in Xinyi, Guangdong Province in October 2023 as the research background, this study aims to explore the impacts of different negative sample sampling strategies and machine learning models on assessment accuracy. Landslide positive samples were acquired via remote sensing image interpretation, and three types of negative sample datasets were constructed based on factor constraints (low slope), buffer random sampling, and unsupervised clustering. Subsequently, susceptibility assessments were conducted by integrating these datasets with ensemble machine learning modeling. The results indicate that while ensemble machine learning models inherently possess high baseline accuracy, the negative sampling method significantly influences the final precision. Specifically, the model utilizing unsupervised clustering sampling achieved the optimal accuracy, followed by buffer random sampling, whereas the low-slope constraint sampling yielded the lowest accuracy. The unsupervised clustering negative sample sampling method is well-adapted to the Xinyi study area, and its combination with ensemble machine learning can further enhance assessment accuracy. This study provides valuable references for sample selection and model construction in the susceptibility assessment of rainfall-induced clustered landslides in the hilly and mountainous regions of southern China.
 

, Available online  , doi: 10.19509/j.cnki.dzkq.tb202512008
Abstract:

Compressed Air Energy Storage (CAES) is an energy storage method that utilizes compressed air to store energy underground and releases it when needed. In recent years, with the increasing demand to address the variability of renewable energy, research and application of CAES technology have gradually become a focus in the energy field. The stability of underground artificial caverns for compressed air energy storage has always been a key research priority, and its influencing factors are relatively complex, making the establishment of a reasonable risk evaluation system urgently needed. To investigate the stability of underground artificial caverns for CAES and establish a reasonable comprehensive risk evaluation system, the Analytic Hierarchy Process (AHP) and entropy method were introduced to determine comprehensive weights, combined with a mathematical model of the fuzzy comprehensive evaluation method. First, the stability indicator system for underground artificial caverns was established. Based on the AHP and entropy method, weights were assigned to each evaluation indicator to obtain comprehensive weights. On the basis of extensive literature research and numerical simulations, risk levels for each evaluation indicator were classified. Then, combined with the fuzzy mathematics evaluation method, the fuzzy matrix for each evaluation indicator was determined. By integrating the fuzzy matrix of each evaluation indicator with the comprehensive weights, the comprehensive evaluation results for the underground artificial cavern gas storage were obtained. This model was applied to validate a representative test cavern, and the evaluation results were consistent with actual conditions, demonstrating the method's accuracy and its potential to provide valuable insights for engineering practices.

GeoLA-YOLO: An Efficient Target Detection Algorithm for Identifying Jointed Rock Masses in Tunnel Engineering
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250463
Abstract:
[Objective]Rock joint detection in tunnel engineering is a critical component for maintaining structural stability. Current tunnel inspection methods, influenced by human subjectivity, suffer from high rates of missed and false detections, as well as limited capabilities in global localization and capture of subtle joints. [Methods]To address these issues, this paper proposes the GeoLA-YOLO algorithm—a high-efficiency rock joint recognition system for tunnel engineering. By incorporating a Convolutional Block Attention Module (CBAM) into the backbone network, the algorithm enhances its ability to capture subtle feature information, effectively resolving the challenge of extracting fine details. Furthermore, through improvements to the head architecture, the model achieves enhanced precision in locating and identifying subtle joints, thereby addressing the issue of inaccurate global positioning. [Results]Experimental results on our self-built VOC (Visual Object Classes) dataset demonstrate that the optimized algorithm maintains lightweight performance while improving mAP@0.5, mAP@0.5-0.95, Recall, and F1 metrics by 4.3%,9.6%,5.0%, and 5.5% respectively compared to the original algorithm, validating the model's effectiveness. In public datasets, the improved model shows 6.2% and 5.2% higher mAP@0.5, mAP@0.5-0.95 performance than the baseline algorithm, confirming GeoLA-YOLO's robustness.
Laboratory investigation of the riparian groundwater flow system evolution during a single rainfall event
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250469
Abstract:
Abstract: [Objective] Riparian zones serve as transitional interfaces between terrestrial ecosystems and surface water bodies. The groundwater flow processes in these zones exerts a dominant influence on river water quality and riparian ecological processes. However, the influence of a single rainfall event on the transient evolution of groundwater flow system patterns remains insufficiently understood. [Methods] Laboratory sandbox experiments and numerical simulations were conducted to investigate the evolution pattern of groundwater flow systems within a riparian slope under the combined influence of lateral recharge and rainfall infiltration recharge. The experiments were designed to replicate the dynamic interaction between hillslope subsurface flow and vertical infiltration, while the numerical model reproduced the transient redistribution of hydraulic heads and flow directions in variably saturated media. Laboratory sandbox experiments were carried out to simulate the response of riparian groundwater levels to combined lateral runoff and rainfall infiltration recharge, whereas numerical simulations reproduced the dynamic evolution of groundwater flow directions and the developmental patterns of the groundwater flow system. [Results] A single rainfall event is a key external disturbance that triggers changes in riparian groundwater flow system evolution. Such alterations in the flow system can cause abrupt shifts in the internal riparian environment, thereby significantly affecting the migration, transformation, and the attenuation of contaminants.The results demonstrate that, before rainfall occurs, under the condition of lateral groundwater recharge alone, a single regional groundwater flow system developed, directed from the left recharge boundary toward the right-side stream outlet. At the onset of rainfall, the internal groundwater flow field underwent rapid and pronounced reorganization: multiple local flow systems emerged in the shallow zone due to enhanced infiltration and capillary effects. As rainfall continued, these localized flow systems gradually merged into a codirectional regional flow system draining from both the upper and lateral boundaries toward the stream. The relative magnitude between rainfall infiltration and lateral inflow strongly governed the number, scale, and direction of the transient local flow systems. [Conclusion] High-resolution characterization of short-term evolution process of groundwater flow system in riparian zones during rainfall events reveals event-scale hydrological responses. This evolution process provides mechanistic insights essential for improving pollutant attenuation predictions and guiding targeted riparian buffer management strategies.
Conceptual Framework and Disaster-Forming Mechanisms of Geological Hazard Bodies in Underground Space
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250485
Abstract:

[Significance] The development of urban underground space faces severe geotechnical safety challenges, with disaster origins largely stemming from the hazard-transformation evolution of specific geological bodies under engineering disturbances. [Progress] The conventional engineering concept of “subsurface defects” (e.g., cavities, loosened zones, water-rich bodies) focuses on the manifestations of hazards, making it difficult to support risk control at the source. Meanwhile, existing  geological concepts, while capable of characterizing objective geological units, fail to adequately represent their dynamic response and disaster- inducing potential under engineering activities. [Conclusions and Prospects] To bridge the theoretical gap between “geological conditions” and “engineering hazards”, this paper proposes the core concept of the “Geological Hazard Body”, defining it as “a specific geological unit that may evolve into an engineering hazard under natural or anthropogenic disturbances”. On this basis, a classification system with dual criteria of genetic origins and disaster-forming mechanisms is established, systematically covering main types such as rock masses, soil masses, groundwater bodies, and geological structures, while also elucidating their evolution pathways toward engineering-scale hazards. The conceptual system established in this study provides a unified conceptual framework for promoting a paradigm shift in risk perception from “phenomenon response” to “root cause management.” It also lays a taxonomic foundation for subsequent research on dynamic simulation and quantitative assessment of geological hazard bodies.

Sedimentary Characteristics and Depositional Model of the Crocker Submarine Fan: Evidence from Outcrop Areas in Sabah, Malaysia
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250440
Abstract:
[Objective]The southern continental margin of the South China Sea, as a convergent margin, records the closure process from the rift-drift-foreland tectonic stages. The Crocker Fan is a large deep-water submarine fan formed during the Oligocene to Early Miocene following the Sarawak collision. [Methods]This study systematically summarizes the sedimentary characteristics of the Crocker Fan based on observations from 10 outcrop profiles in the Sabah region of Malaysia. [Result]Research indicates that the West Crocker Formation is primarily composed of unmetamorphosed submarine fan and deep-sea muddy sediments, roughly equivalent to the Miri Zone in the northern Borneo collision belt. It covers an area of over 25,000 km2 and is distributed along the coastal zones of Sarawak and northern Sabah. The Crocker Fan is an unconfined deep-water submarine fan. Due to scattered outcrops and a lack of seismic data, it is inferred to be part of a large submarine fan complex formed along the collision zone. The fan is mainly composed of sandy high-density turbidites consisting of fine- to medium-grained sandstones and argillaceous low-density turbidites composed of siltstones, with occasional coarse sandstone or gravel-bearing mass transport deposits. The sedimentary facies include tens-of-meters-thick turbidity channels, medium-to-thick turbidity channel/levee deposits, lobe deposits, and thin sheet sands interbedded with mudstones. Incomplete Bouma sequences are observed in the lobe and sheet sand deposits, with sole marks and trace fossils being very common. Additionally, abundant plant debris is visible on the bedding planes of the interbedded thin sheet sands and mudstones, and vitrinite bands are occasionally observed, indicating that coastal peat swamps in a narrow shelf setting were transported into deep-water deposits. [Conclusion]These well-exposed profiles provide excellent examples of submarine fan deposition in a narrow shelf environment. The research findings hold significant importance for understanding the dynamics of the South China Sea continental margin and the study of deep-sea reservoirs.
Reappraisal of Late Neoproterozoic Stratigraphic Age in the Tieklik Block, Southwest Tarim Basin and Its Tectonic Significance
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250516
Abstract:
[Objective]The Neoproterozoic strata in the Tarim Basin record the breakup of the Rodinia supercontinent and basin evolution history. Robust constraints on their stratigraphic ages are crucial for reconstructing the tectonic-sedimentary processes of the Tarim Basin during the Rodinia supercontinent cycle. Although previous studies have been conducted on the Neoproterozoic strata in the Tarim Basin, controversies remain regarding the depositional ages and sources of key stratigraphic horizons of the southwest Tarim Basin. [Methods] In this study, sedimentary analysis was conducted on the Late Neoproterozoic Yutang section in the Tieklik block of southwest Tarim Basin, which includes the Qingbaikou System Sukuluoke Formation, Nanhua System Yalaguzi Formation, Bolong Formation, Kelixi Formation, Yutang Formation, and Sinian System Kurkake Formation. Five clastic rock samples were collected from three key stratigraphic units from the Qingbaikou to Sinian Systems for compositional analysis of clasts and zircon morphology, as well as detrital zircon U-Pb dating. [Results] Based on previous stratigraphic ages, the Late Neoproterozoic stratigraphic ages have been redefined: (1) The maximum depositional age of the Qingbaikou System Sukuluoke Formation is 739.2±8.9 Ma, and its depositional age is redefined to be 740-720 Ma; (2) The maximum depositional age of the Nanhua System Yalaguzi Formation is 725±10 Ma, while the depositional ages of the Bolong Formation, Kelixi Formation, and Yutang Formation are defined as 720-700 Ma, 700-660 Ma, 660-645 Ma, and 645-635 Ma, corresponding to the Sturtian glaciation, interglacial stage, and Marinoan glaciation, respectively; (3) The maximum depositional age of the Sinian System Kurkake Formation is 677.1±9.3 Ma, and its depositional age is constrained to 635-585 Ma based on the deep-water shelf fine-clastic deposits after glacial ablation. [Conclusion] Integrated results of clast composition, zircon morphology, and detrital zircon U-Pb age spectra reveal distinct provenance change in the southwest Tarim Basin. During the Qingbaikou Period, detrital zircon ages exhibit bimodal peaks at ~780 Ma and ~1,880 Ma, indicating mixed sources from both the Tarim craton and Tianshuihai terrane. In contrast, Nanhua-Sinian strata show a unimodal peak at ~780 Ma, reflecting stable source from the Tarim craton. This provenance shift suggests tectonic separation of the Tianshuihai terrane from the Tarim craton. The structural-sedimentary evolution of the southwest Tarim Basin is interpreted as follows: during the Qingbaikou Period, isolated NE-trending rift basins developed in the southwest Tarim Basin, which was controlled by the Rodinia supercontinental breakup; During the Nanhuan Period, these isolated rifts were gradually interconnected through enhanced subsidence and sediment routing, which was influenced by sustained Rodinia supercontinental breakup, far-field effects of the subduction of the ocean along the northern Tarim margin, and global glaciation; During the Sinian Period, the basin was inherited the Nanhua structural patterns, and transferred from rifting basin to depression basin.
Study on the hydrochemical characteristics of karst hot water and genesis of hot springs in Midu County
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250253
Abstract:
Midu County, Dali Prefecture is rich in geothermal resources, where hot springs are developed, but the degree of development and utilization is low.【Objective】To reveal the genetic mechanism of geothermal water in the county and provide a basis for the development and utilization of hot spring resources.【Methods】This study selected five hot springs, two cold springs, two surface water samples, and one well water sample as research objects. Hydrogeochemical methods, isotope characteristic analysis and geothermal reservoir characteristic analysis were adopted to infer the genesis of hot springs, and use COMSOL Multiphysics software to perform numerical simulation of typical profile hot spring water thermal coupling.【Conclusion】The results show that: The hydrochemical type of geothermal water in the study area is mainly HCO3-Na type water, supplied by atmospheric precipitation, with an average supply elevation of 2827 m. The supply area is located near Shuimu Mountain in the eastern part of the county and Bijia Mountain in the northwest. There is a significant "18O drift" phenomenon in the water samples, indicating that geothermal water has undergone a certain degree of oxygen isotope exchange. The groundwater age in the study area is between 1067a-28313 a, there are significant differences in the retention time of different hot spring cycles.The temperature of geothermal reservoir is between 81-114℃, and the depth of geothermal water circulation is between 2387-3487 m. The two-dimensional simulation results of hydrothermal coupling in typical sections show that the seepage field presents obvious hierarchical pattern. The temperature field shows that the heat exchange occurs with the rock mass after rainfall infiltration into the formation, and the heat in the bottom high-temperature stratum is carried to the shallow part and the spring is exposed at the fault. The cause of thermal water can be summarized as follows: atmospheric precipitation seeped down the outcrop of aquifer, gradually heated by heat exchange with surrounding rock in the process of infiltration and migration from shallow part to deep part. When it reached a certain depth, it encountered faults and migrated upward along the fault zone. In the upward migration, due to the dilution effect of surface cold water, the water temperature dropped, and finally rose to the surface along the tensile fault zone or fracture fracture zone, and emerged into springs. The study reveals the formation reasons of geothermal water in Midu County, which can provide important basis for the development and utilization of hot springs and the protection of geothermal water resources in the study area.
Identification of Rock Mass Fractures and Extraction of Characteristic Parameters Based on an Improved U-Net Model
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250491
Abstract:
[Objective] To overcome the limitations of conventional manual methods for rock fracture identification—such as low efficiency, high subjectivity, and limited accessibility in rugged terrain—this study aims to develop an approach for rapid and accurate fracture recognition and parameter extraction, particularly on steep rock slopes.[Methods]An enhanced U-Net model was developed and trained on the publicly available GeoCrack dataset. To better capture the irregular, linear characteristics of fractures, the model integrates a Convolutional Block Attention Module (CBAM) and a multi-scale feature fusion mechanism. The AdamW optimizer combined with a cosine annealing learning rate scheduler was employed to accelerate convergence and ensure training stability. Recognized fractures were refined using post-processing techniques, including Gaussian blur, morphological operations, and skeletonization. Fracture characteristic parameters were then calculated by integrating the 2D image data with 3D point clouds using camera parameters. The proposed workflow was validated using drone-captured imagery of the Jigongyan rock mass. [Results]Experimental results demonstrate that the improved U-Net model outperforms both a traditional Fully Convolutional Network (FCN) and the original U-Net in terms of Pixel Accuracy (PA), Mean Pixel Accuracy (MPA), and Mean Intersection over Union (MIoU). In the Jigongyan case study, the dominant fracture orientations identified by the model (approximately 320° and 140°, with dip angles of 75°–85°) show strong agreement with field mapping data (e.g., T1: 330°∠82°; T3: 170°∠82°). The calculated 3D fracture length and width exhibited minimal errors. [Conclusion]This study presents an automated workflow for rock fracture identification and parameter quantification. The method not only reduces survey costs and improves accuracy but also provides a reliable reference for designing engineering mitigation measures, demonstrating considerable practical value.
Research on the Discovery and Mineralization Mechanism of the Bauxite Deposit in the Upper Reaches of the Yarkant River, Xinjiang
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250541
Abstract:
[Objective] The Xinjiang region is rich in mineral resources, including petroleum, natural gas, coal, iron, ect. However, bauxite resources have historically been scarce, with only a few scattered occurrences identified along the southern Tianshan Mountains and the northwestern margin of the Tarim Basin. In 2025, bauxite deposits were discovered in Kalakunlun Orogen. This breakthrough confirmed—for the first time—the presence of industrial-grade bauxite bodies in the Kunlun Orogen, expanding the prospective exploration area for bauxite across Xinjiang Province. The Xinjiang bauxite exhibits strong similarities to deposits commonly found in North and South China: developed on carbonate platforms and are genetically classified as karst-type bauxite. Given the widespread distribution of carbonate platform sediments throughout Xinjiang, the region holds considerable potential for further bauxite development. There is an urgent need to conduct detailed research on this newly discovered deposit to preliminarily clarify the bauxite mineralization processes, elucidate its metallogenic mechanisms, and provide a solid scientific foundation for subsequent bauxite exploration in Xinjiang. [Methods] This study targeted the bauxite occurrence in the Kalakunlun Orogen area, employing an integrated multi-disciplinary approach including sedimentology, stratigraphy, paleontology, mineralogy, and geochemistry. [Results] The findings reveal that bauxite is developed under warm, humid tropical climatic conditions, influenced by regional tectonic evolution and multi-phase sea-level fluctuations driven by global glacial-interglacial cycles. [Conclusion] The bauxite layer preserves a complete regressive-transgressive sedimentary cycle. Regression exposed the carbonate platform, creating conditions conducive to bauxite formation through intense weathering and leaching processes, while subsequent transgression resulted in the deposition of overlying organic-rich carbonaceous mudstone. Sedimentological and geochemical characteristics document frequent sea-level oscillations and climatic change, which established optimal prerequisites for enhanced leaching and metallogenesis in this area. This discovery not only addresses a key regional metallogenic gap but also underscores the broader exploration potential for carbonate-hosted karst bauxite in tectonically active orogenic settings like the Kunlun Orogen.
Development characteristics and exploration potential of Early-Middle Jurassic Continental Shales in eastern Sichuan Basin
Xie Rui, Luo Shunshe, Lv Qiqi, Zhou Lin, Zhang Shangfeng, Zhou Kun
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250471
Abstract:

早中侏罗世时期川东地区为三角洲-湖相沉积,中下侏罗统发育了多套富有机质页岩,为了明确该区侏罗系陆相页岩油气的勘探潜力,基于钻井岩心、野外露头剖面、测录井资料、分析测试资料等的系统分析,对该区侏罗系陆相泥页岩发育特征、原生品质、可改造性等进行了综合研究。结果表明:1)川东地区中下侏罗统主要发育自流井组东岳庙段和大安寨段、凉高山组凉二段三套半深湖相暗色泥页岩;2)三套页岩的有机碳含量主要在0.5%~2%之间,有机质类型以Ⅱ型干酪根为主,有机质热演化程度主要在0.9%~1.5%;3)三套页岩储层无机孔、有机孔均见发育,具备一定的储集性能和含气性,其中东岳庙段页岩储集物性和含气性最好,其次为凉二段,大安寨段最差;4)三套页岩发育不同岩性、不同规模的隔夹层,其中凉二段页岩隔夹层主要为数毫米~数米厚的粉砂岩,东岳庙段隔夹层主要为数毫米~数十厘米的介壳灰岩,大安寨段介壳灰岩隔夹层厚度大、层数多。综合评价认为凉二段页岩厚度最大,可压性最好,且具备较好的原生品质和含气性,是最现实的勘探开发层系;东岳庙段页岩原生品质和含气性最好,但粘土矿物含量高,发育介壳灰岩隔夹层,需加强工程工艺攻关;大安寨段页岩分布局限,原生品质和可压性较差,暂不具备大规模勘探开发的条件。

Ring Shear Tests on the Shear Behavior of Clay-Infilled Discontinuity–Bedrock Interfaces under Various Moisture Conditions
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250430
Abstract:
As weak structural planes in geotechnical engineering, argillized interlayers play a controlling role in slope stability due to their shear strength properties. Existing studies often analyze the effects of interface roughness or moisture conditions independently, while in-depth investigation into their combined influence remains limited. This study focuses on the argillized interlayer from a typical slope in Guiyang, Guizhou Province. Three types of bedrock interfaces with different fractal intercepts (A = 0.3918, 0.4059, and 0.4263) were prepared using 3D printing and concrete casting techniques. Interface shear tests were conducted using the KTL-IST type ring shear test system under two moisture states (natural and saturated) and normal stresses ranging from 100 to 400 kPa.The results show that under natural conditions, the peak interface strength increases significantly with the increase of fractal intercept: the peak internal friction angle rises from 35.00° to 47.73°, and the peak cohesion increases from 71.97 kPa to 103.39 kPa. The residual strength parameters are also affected by the fractal intercept, among which the residual cohesion shows nonlinear variation. Under saturated conditions, the peak interface strength degrades significantly; under a normal stress of 400 kPa, the peak strength attenuation rates corresponding to the three fractal intercepts are 11.19%, 24.26%, and 21.62%, respectively. Additionally, the residual cohesion after saturation exhibits a positive correlation with the fractal intercept, while the residual internal friction angle shows nonlinear variation.Furthermore, under saturated conditions, the shear stress–displacement curves exhibit regular periodic fluctuations, primarily attributed to intrinsic soil properties such as coarse particle distribution, grain size composition, and heterogeneous development of the shear zone. This study reveals the variation patterns of shear strength at the clay-filled discontinuity–bedrock interface under different fractal intercepts and moisture conditions, providing a foundation for further investigation into the shear failure mechanisms of such interfaces.
Petrological characteristics and formation-evolution process of basement buried hill in Weixinan Sag, Beibuwan Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250480
Abstract:
[Objective]The basement buried hill in Weixinan sag is an important target area for oil and gas exploration in the South China Sea. However, its stratigraphic age is vague, lithology is complex and diverse, boundary characterization is difficult and distribution law is unknown, which seriously restricts the buried hill oil and gas exploration. [Methods]This study integrates drilling cuttings, core samples, well logging data, and 3D seismic data from the basement. By employing methods from petrology, zircon U-Pb dating, structural geology, and geophysics, it systematically determines the ages and geophysical characteristics of different strata. Subsequently, the spatial distribution of lithologies is characterized, a structural evolution model of the buried hill is established, and the distribution patterns of the strata are revealed.[Results]The results show that there are three types of lithology in the basement. First, the Carboniferous carbonate rocks containing and coral fossils were formed in the expansion stage of the Qinfang Trough in the Hercynian period. The second is the early palaeozoic granite with zircon U-Pb age of 460~430 Ma, which is the magmatic response product of Caledonian orogeny. The third is the Precambrian metamorphic rocks with a peak age of 1180 Ma. The combination of well and seismic analysis shows that the velocity and impedance of the three types of rocks are significantly different. The velocity of carbonate rock formation is the highest (6000-6500m/s), followed by granite (5000-6000m/s), and metamorphic rock is the lowest (4500-5200m/s). [Conclusion]Through comprehensive seismic configuration and multi-attribute analysis, the lithological boundaries were delineated, revealing that the basement is divided by fault zones. The No.1 fault zone is dominated by carbonate rocks, the No.2 fault zone shows mixed granite-carbonate lithology, the No.3 fault zone exhibits mixed granite-metamorphic rock assemblages, while the slope area is primarily composed of granite.This results in a planar distribution pattern characterized by stable granitic basements in the north and south, and mixed lithologies in the central area. Differential multi-phase tectonic uplift and erosion are identified as the main controls on lithological distribution in the buried hills: Caledonian uplift exposed granite, Hercynian subsidence controlled carbonate rock overlap deposition, Indosinian-Yanshan movements influenced differential preservation of strata, and the Himalayan movement established the present basement structural framework. The results effectively guide the exploration evaluation and breakthrough of granite and metamorphic buried hills in No.2 and No.3 fault zones, and have important practical significance for oil and gas exploration in similar cross-lithologic buried hills.
Analysis of differences in various types of ultra-deep reservoirs and their relationship with gas well productivity - A case of the Cretaceous Baxigai Formation to Bashijiqike Formation in well area Bozi 3, Kuqa Depression
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250518
Abstract:
In order to clarify the favorable reservoir types and their distribution characteristics of the main gas-producing layer system in Baxigai Formation, as well as their controlling effect on production capacity differences, and the differences between the two gas-producing layer systems, core detailed description, microscopic casting thin section, X-ray diffraction and other experimental analyses were carried out on multiple wells in Bozi 3 Well Area. Reservoir types were divided, and the relationship between reservoir thickness and unobstructed flow rate of gas wells was clarified. It is considered that there are differences between the Baxigai Formation and the Bashijiqike Formation in terms of sedimentary facies types, reservoir types and thickness, as well as the relationship between fracture (fracture) and matrix reservoir configuration. ① The main gas-producing layer system of Well Area Bozi 3 is characterized by fan delta front braided channel conglomerate deposits in the Baxigai Formation Member 2, and the Baxigai Formation Member 1 is mainly composed of interbedded siltstone and fine sandstone of fan delta front dam bodies and submarine distributary channels with lacustrine facies. The Bashijiqike Formation Member 3 is mainly characterized by large-area deposition of subaqueous distributary channels in the front of a braided river delta. The brown mudstone interbeds are primarily developed in Member 1 of the Baxigai Formation, moderately developed in Member 2, and not well developed in Member 3 of the Bashijiqike Formation. ② The second member of the Baxigai Formation is mainly composed of pore-type and fracture-pore-type reservoirs; the third member of the Bashijiqike Formation is mainly composed of pore-fracture-type reservoirs. The reservoir is divided into 4 categories based on the sandstone porosity value, among which Categories I, II, and III are effective reservoirs, and Category IV is a non-reservoir. The total thickness of Category II and III reservoirs in the second member of the Baxigai Formation is generally less than 15m; the total thickness of Category I, II, and III reservoirs in the third member of the Bashijiqike Formation is 10m-26m, with a relatively large effective reservoir thickness. ③ The second member of the Baxigai Formation is mainly composed of interbedded sandstone, conglomerate, and siltstone, with relatively thin reservoir thickness, lower fracture development degree than the Bashijiqike Formation, but better matrix reservoir development; the third member of the Bashijiqike Formation is mainly composed of thick conglomerate, with large reservoir thickness and well-developed fractures; ④ The size of the unobstructed flow rate of each well in the second member of Baxigai Formation is closely related to the thickness and distribution of II and III class reservoirs. The production capacity of each gas well is controlled by both the degree of fracture development and the thickness of the matrix reservoir; the production capacity of each gas well in the third member of Bashijiqike Formation is mainly controlled by the degree of fracture development, and the correlation with effective reservoir thickness is weak. This indicates that the development of fractures in the Bozi 3 well area is a key factor for high-yield gas wells, and favorable sedimentary facies and effective reservoir thickness also play a controlling role in high-yield gas wells. The above understanding provides important geological basis for increasing natural gas reserves and production in the area.
Geological modeling of sandstone fractured reservoirs constrained by outcrop geological knowledge: a case study from the Yanchang formation reservoir in Jinghe oilfield, Ordos Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250420
Abstract:
Abstract: [Objective] The internal structure of tight sandstone fault-fracture reservoirs is complex. However, due to the limited number of well data and the resolution constraints of seismic data, there is a lack of constraints for building high-precision 3D geological models of these reservoirs, which hinders sweet spot prediction and development planning.[Methods] This paper proposes a three-level modeling framework for fault-fracture reservoirs, focusing on their outline, internal structural zones, and internal attributes. The reservoir outline is constrained by integrating outcrop-based statistics of fault-fracture dimensions with 3D geological attributes. For modeling internal structural zones, a fluctuating decreasing function of fracture density is introduced, combined with density thresholds for different zones, to develop a 3D geological model of the internal structures. The internal fracture model is built using the discrete fracture network (DFN) method, based on statistical laws of fracture parameters derived from outcrops and imaging logs. In terms of matrix reservoir property modeling, the enhancing effect of fracture development on matrix properties is taken into account.[Results] The results show that: (1) The width of fault-fracture reservoirs in the Yanchang Formation of the southern Ordos Basin generally ranges between 80 and 160 m, and the width exhibits a log-linear relationship with fault displacement. (2) The internal part of fault-fracture reservoirs can be divided into a fractured zone, a fracture zone, and a matrix zone. The fractured zone typically extends 5-20 m, while the fracture zone generally spans 15-50 m. The fracture density within the reservoir follows a fluctuating decreasing function with increasing distance from the fault. (3) Fracture parameters of different internal structural units are consistent with statistics from outcrops and imaging logs. The increase in matrix porosity in fracture-developed zones is proportional to fracture density. [Conclusion] This study proposes a multi-source data integration modeling method constrained by an outcrop-based geological knowledge database. It addresses the challenge of high-precision 3D geological modeling of tight sandstone fault-fracture reservoirs under conditions of limited well data and insufficient seismic resolution. The method provides technical support for the exploration and development of such reservoirs.
The application of detrital zircon and rutile U-Pb age composition in the discrimination of tectonic settings
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250447
Abstract:
Abstract:[Objective]The U-Pb age distribution characteristics of detrital heavy minerals serve as a commonly employed and effective method for discriminating tectonic settings. In recent years, the application of cumulative probability curves of detrital zircon U-Pb ages for identifying tectonic settings has gained widespread usage. As a complement to detrital zircon, detrital rutile provides clearer discrimination between convergent and collisional settings. However, the prerequisite for this methodology is the accurate determination of the depositional age of the stratigraphic unit, which remains a challenging aspect in sedimentology and basin analysis. [Methods]Although χ 2-square analysis based on detrital zircon U-Pb age characteristics can effectively identify tectonic settings without relying on depositional age constraints, its application in complex collisional settings has proven inadequate. This study demonstrates that neither detrital zircon nor detrital rutile U-Pb age characteristics, when subjected to χ2-square analysis, can effectively discriminate collisional settings. [Results]Consequently, the exclusive use of any single mineral or methodological approach cannot achieve complete accuracy in determining tectonic settings. Through detailed discussion of the advantages and limitations of detrital zircon and detrital rutile applications in basin tectonic settings discrimination, this study proposes an integrated analytical framework combining U-Pb age characteristics of both detrital minerals with χ2-square analysis. [Conclusion]This comprehensive methodology enables accurate identification of tectonic settings, with particular improvement in the precision of discriminating collisional processes within basin tectonic backgrounds.
Mineral prospectivity mapping of porphyry copper deposits in the Duobaoshan district using random forest and SHAP interpretation
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250470
Abstract:
[Objective] Mineral resource prediction is often hindered by the complexity of metallogenic processes and the challenge of fusing multi-source geological data. To address these issues, the Duobaoshan copper deposit and its surrounding area in Heilongjiang Province were selected as a case study, where machine learning algorithms were applied for the prediction and evaluation of porphyry copper deposits. [Methods] By integrating multi-source geological data, a predictor system of eight factors was constructed, including buffers for faults, intrusions, and strata; geochemical anomalies of Cu, Mo, and Au; the first robust principal component score (RPC1); and residual gravity anomalies. To address the scarcity of known deposits, a spatial neighborhood augmentation strategy was adopted for sample expansion. On this basis, a Random Forest (RF) prediction model was developed, with Logistic Regression (LR) and Support Vector Machine (SVM) introduced as baseline models for performance comparison. Furthermore, the SHAP algorithm, utilizing the TreeExplainer and interaction plots, was employed to quantitatively interpret key metallogenic elements. [Results] Experimental results indicate that the grid-search optimized RF model achieved an AUC of 0.962 on the testing set, outperforming SVM (0.938) and LR (0.874), demonstrating superior generalization and robustness. Success-rate analysis showed that the top 10% high-probability area captured 88% of known deposits, indicating significant exploration efficiency. SHAP analysis revealed that stratigraphic buffer, RPC1, and Cu anomalies were the dominant predictors. Moreover, significant non-linear interaction enhancement effects were identified between strata and faults/Cu anomalies, quantitatively characterizing the synergistic metallogenic mechanism of "strata-structure-fluid". [Conclusion] This study constructed a random forest prediction model based on sample augmentation and multi-model comparison, effectively overcoming the difficulty of small-sample modeling. Based on probability thresholds determined by the success-rate curve, seven metallogenic prospective zones were delineated, including one Grade-A, four Grade-B, and two Grade-C zones. The prediction results are highly consistent with geological laws, providing scientific basis and technical support for the exploration of porphyry copper deposits in the Duobaoshan periphery and similar covered areas.
The evolution of the ecological environment of the Miocene lake basin in Qaidam Basin based on inorganic-organic geochemical constraints
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250389
Abstract:
Abstract:[Objective] The Qaidam Basin is the largest Cenozoic continental intermountain basin in the northeastern Qinghai-Tibet Plateau. The continuous and complete lacustrine sedimentary sequence recorded in the Miocene provides a good carrier for the accurate reconstruction of the paleoenvironment and the ecological evolution process of the lake basin. The purpose of this study is to reveal the control mechanism of climate-tectonic coupling process on the evolution of lake basin ecosystem in Qaidam Basin during the Miocene, and to clarify the covariation relationship between climate change and the evolution of lake basin and basin ecological environment. [Methods] In this study, the JS-2 well in the Yiliping Sag of the Qaidam Basin was taken as the research object. By comprehensively applying technical methods including elemental logging, rock pyrolysis, and saturated hydrocarbon chromatography analysis, the evolutionary characteristics of the lacustrine basin ecological environment during the Miocene sedimentary period were systematically analyzed from the perspectives of organic matter types, paleoclimate, and sedimentary environment. [Results] The research results indicate that during the sedimentary period from the lower segment of the Lower Youshashan Formation to the Upper Youshashan Formation, the climate of the basin exhibited obvious alternations between arid and humid conditions. Meanwhile, the lacustrine sedimentary environment gradually became hypoxic, with multiple synchronous fluctuations occurring in salinity and water depth, and the organic matter was dominated by aquatic plants and terrestrial higher plants. In contrast, during the sedimentary period of the Shizigou Formation, the basin climate was persistently arid, the lacustrine basin shrank significantly, and the lake water column developed salinity stratification. The sedimentary environment was characterized by a strong reducing state, the input of terrestrial organic matter increased remarkably, and herbaceous plants further became the dominant vegetation type. [Conclusion] During the Miocene, tectonic evolution and climatic fluctuations were the key drivers of changes in the lacustrine environment and vegetation communities in the Qaidam Basin. The aridity during the deposition of the lower Xiayoushashan Formation resulted from the initial uplift of the East Kunlun Mountains, which blocked moisture transport into the basin. During the deposition of the upper member of the Xiayoushashan Formation, global warming and the periodic melting of ice sheets enhanced moisture transport by monsoons into the basin, resulting in a warm and humid climate during this period. From the deposition of the Shangyoushashan Formation to the Shizigou Formation, the climate shifted to cold and dry, with pronounced aridification across the basin. This was primarily driven by global cooling—marked by the establishment of a permanent Antarctic ice sheet—coupled with the accelerated uplift of the Tibetan Plateau and its surrounding ranges, which effectively obstructed moisture transport into the Qaidam Basin. Based on geological fundamentals, climate fluctuations drive the transformation of the lake aquatic environment, regulate the basin's productivity and ecological space, and ultimately control the succession of vegetation communities.
Application analysis of UAV front-end Intelligence in Geological element interpretation
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250441
Abstract:
[Objective]Small and medium-sized unmanned aerial vehicles (UAVs) are expected to play an increasingly important role in UAV front-end intelligence for geological applications. However, limitations such as low onboard computational performance and restricted battery capacity continue to constrain the deployment of intelligent models on UAV platforms. To address this challenge, this study integrates the multi-kernel lightweight convolutional model ultralight_unet micro model into geological interpretation tasks under complex environments, and evaluates its effectiveness in geological feature interpretation for front-end embedded systems. Distinct from traditional passive compression-based lightweight model approaches—such as pruning and quantization—and from existing lightweight networks that rely on single kernels or weak attention mechanisms, ultralight_unet employs an inherently lightweight multi-kernel architecture (MKIR/MKIRA) that enables more robust multi-scale geological feature extraction at extremely low computational cost.[Methods]Using Landsat-8 imagery from the Eastern Kunlun region, we conduct a systematic comparison between the ultralight_unet micro model and large-scale models such as U-Net and DeepLabv3plus, as well as mainstream lightweight networks including MobileNetV3 and Fast-SCNN. The comparison assesses performance across model parameters, floating-point operations, and interpretation accuracy to reflect deployment requirements typical of UAV front-end intelligence scenarios. [Results]Results show that the ultralight_unet micro model contains only 0.32M parameters and 0.77G FLOPs, representing 92–466× and 10–230× reductions compared with U-Net and DeepLabv3plus, respectively. It achieves an overall Pixel Accuracy (oPA) of 62.75%, a mean Intersection over Union (mIoU) of 40.82%, and an F1-score of 55.68%. Compared with SegNet, oPA, mIoU, and F1-score improve by 4.14%, 6.98%, and 6.92%, respectively. [Conclusion]Moreover, the ultralight_unet micro model demonstrates lower complexity and computational cost than MobileNetV3 and Fast-SCNN, while offering enhanced feature representation for remote sensing scenes characterized by weak geological textures and blurred boundaries. This provides a deployable lightweight solution for UAV-based geological feature interpretation on front-end devices.Although its accuracy remains below that of certain large-scale state-of-the-art multimodal networks, this study provides experimental evidence and methodological insights for the intelligent deployment of UAV geological equipment, and establishes a foundation for developing more advanced lightweight models tailored to specific tasks.
Vesicle-Filling Processes of Cretaceous Volcanic Rocks in the Honghaershute Depression, Erlian Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250392
Abstract:
[Objective] Significant progress has been made in the exploration of Cretaceous volcanic rocks in the Honghaoershute Depression of the Erlian Basin. However, the study of reservoir genesis mechanisms, particularly the primary pore filling and subsequent modification, remains relatively weak. [Methods] In this study, core samples were collected from three oil-bearing structures (Baer, Hailute, and Nugeda) within the study area. Comprehensive analyses were conducted using core observations, thin-section identification, scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), and energy-dispersive spectrometry (EDS) point-to-area scanning. These analyses were used to investigate the pore-filling series and mechanisms of Cretaceous volcanic rocks in different structures. [Results] The results show that the pore-filling materials in the volcanic rocks of the study area primarily consist of calcite, dolomite, chlorite, quartz, and kaolinite, which are similar to the materials filling fractures. These materials are predominantly controlled by the compositional characteristics of the volcanic rock matrix.In the Hailute structure, the andesites exhibit high Fe-Mg content and abundant calcic-albite phenocrysts. The pore-filling materials are dominated by Fe-bearing dolomite, with a high degree of filling.In the Baer structure, the andesites also exhibit high Fe-Mg content, but the calcite content in the albite phenocrysts is low. Calcite fills only the edges of the pores, while the interior is primarily filled with chlorite. In the Nugeda structure, the andesites show low Mg, low Fe, and high K characteristics. The pore-filling materials are dominated by quartz and kaolinite, with a low degree of filling.The pore-filling patterns depend on the connectivity between pores and the matrix. Three filling modes are identified and established: (1) fracture-connected type, (2) compaction-damaged type, and (3) uneven filling type. [Conclusion] The differences in physical properties of the andesite reservoirs in the study area are mainly controlled by the combined effects of fracture connectivity and the degree of dissolution, while vesicle filling intensity and mineral types to some extent influence the development of dissolution and primary reservoir space.
Thermochronologic Constraints on the Initiation Timing of North–South Rift Systems in the Tibetan Plateau: A Case Study from the Western Lhasa Terrane
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250377
Abstract:
[Objective] The formation mechanisms and along-strike expansion patterns of the north–south rift systems that developed since the Miocene are among the key scientific questions in current Tibetan Plateau research, and are crucial for understanding the plateau’s deep lithospheric dynamics. This study focuses on the Lunggar Rift and the Dangre Yongcuo–Xuru Co Rift in the western Lhasa terrane, aiming to constrain the rift initiation timing of their southern segments and to explore the underlying deep-seated geodynamic processes. [Methods] Low-temperature thermochronology was conducted on granite and detrital samples collected from the southern segments of the two rifts using apatite and zircon fission-track analysis. Thermal history modeling was performed with HeFTy software to reconstruct the cooling and exhumation histories. [Results] TFission-track ages are mainly clustered between 12 and 10 Ma. Thermal history modeling reveals a pronounced rapid-cooling event during this period, with cooling rates of ~50 °C/Ma, corresponding to vertical exhumation rates of ~2 km/Ma. Comparison with previously published thermochronologic data from the northern segments indicates broadly synchronous rift activity across strike. Detrital apatite fission-track ages exhibit two prominent peaks at 13.7 Ma and 8.0 Ma, reflecting multiphase exhumation rather than a simple northward or southward propagation trend. [Conclusion] The initiation of the north–south rift systems is primarily controlled by asthenospheric upwelling triggered by the tearing of the subducting Indian lithosphere, and by the vertical buoyancy stresses generated by middle–lower crustal flow. The spatial distribution of rifting does not correlate directly with slab-tear geometries. Instead, the development of these rifts records a fundamental transition from mechanical coupling to decoupling between the upper crust and the underthrusting Indian lithosphere. These findings suggest that traditional models of unidirectional rift propagation should be reconsidered.
Impact of Mixing Intensity on Reservoir Pore-Throat Characteristics and Its Application in Classifying Mixed Sandstone Reservoirs: A Case Study from the Miocene of M Oilfield, Iraq
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250402
Abstract:
To clarify the impact of mixing intensity on reservoir pore-throat characteristics and its application in classifying mixed sandstone reservoirs, a case study of the Miocene Asmari Formation in the M Oilfield, Iraq, was conducted. Integrating core samples, thin sections, measured porosity-permeability data, well logs, and geochemical data, we analyzed how mixing intensity controls pore-throat structures and established a classification scheme for mixed sandstone reservoirs. Key findings include:①Diverse mixed rock types (e.g., sand-bearing grainstone, sandy dolomitic grainstone, dolomite-bearing sandstone, and dolomitic sandstone) were identified. Mixing intensity was quantified by the volumetric ratio of terrigenous clastics to carbonate components: <25% minor component = low mixing, 25%-50% = high mixing.②Mixing intensity significantly controls pore-throat structures. In sandstone reservoirs, when dolomitic mixing intensity (Hjy) <25%, primary intergranular pores with constricted throats dominate (Φ>15%, K>100mD). At Hjy>25%, pore systems evolve into intergranular + intercrystalline (dissolved) pores with constricted + intercrystalline throats, causing sharp declines in Φ and K. In carbonate reservoirs, siliciclastic mixing intensity (Hjs) >25% reduces pore-throat connectivity (K<10mD).③Based on pore-throat responses and mixing thresholds, mixed sandstone reservoirs are classified into four types (I, II, III, IV) with distinct characteristics.This study demonstrates that mixing intensity governs reservoir heterogeneity. The classification scheme integrating mixing intensity and pore-throat structures effectively predicts favorable reservoir distributions, providing a geological basis for efficient hydrocarbon exploration in mixed sandstone reservoirs.
CT image segmentation of micro-nano scale pores and fractures in sandstone
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250415
Abstract:
[Objective] Accurate identification of micro/nanoscale pores and fractures is essential for understanding multiphase interactions in rocks. However, traditional segmentation methods have significant limitations in precisely segmenting complex pore-fracture structures, and the accuracy of results from various methods is often inadequately evaluated in practical applications. [Methods] In this study, a nanometer-resolution pore-fracture dataset of tight sandstone was constructed using micro-focus X-ray computed tomography (μCT) technology. We compared the performance of traditional segmentation methods, such as grayscale thresholding and watershed algorithms, with four deep learning methods based on convolutional neural network architectures (UNet, SegNet, DeepLabv3-ResNet50, and DeepLabv3-ResNet101) for pore-fracture feature extraction at the nanometer scale. [Results] The results demonstrate that deep learning methods generally outperform traditional segmentation approaches for the micro/nanoscale pore-fracture CT image dataset. In particular, the UNet model achieved the best performance across multiple evaluation metrics: its Intersection over Union (IoU) and F1-score improved by 18.70% and 16.47%, respectively, compared to traditional methods, while accuracy reached 99.03%. The standard deviations of these metrics (0.012, 0.010, and 0.004, respectively) further indicate high stability and robustness. For complex nanoscale pore-fracture structures, UNet effectively preserved detail continuity and boundary integrity, showcasing its superior fine-detail extraction capability. The UNet-based 3D reconstruction yielded a porosity of 2.408% (compared to the original porosity of 2.785%), and the constructed pore network model (PNM) showed enhanced overall connectivity, validating its advantages in multiscale pore-fracture identification and structural preservation [Conclusion] Compared to traditional segmentation methods, deep learning models demonstrate highly consistent performance in segmenting micro-fractures and pores with their pore network topology, significantly improving the accuracy of porosity, pore throat, and permeability characterization. This advancement provides a critical foundation for the precise identification and modeling of micro-fractures and pores.
Distribution, sources and transport of PAHs from a typical shale gas site in Fuling, Chongqing, China
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250398
Abstract:
[Objective] Polycyclic aromatic hydrocarbons (PAHs) may be produced during the processes of shale gas exploitation, which may threaten both the environment and the human health. The largest shale gas exploitation area in China is located in the Fuling karst area of Chongqing, and the produced PAHs may impact the karst groundwater system. [Methods] To explore the transport processes of PAHs in karst groundwater system under the influence of shale gas exploitation, the concentrations of PAHs in soils, spring water, surface water and corresponding sediments around a typical exploitation site from the shale gas exploitation area in Fuling were analyzed for studying their spatial distribution, compositions and potential sources. [Results] The results show that the total concentrations of 16 priority PAHs (Σ16PAHs) in the water, soils and sediments ranged from 17.3 to 57.4 ng/L, from 16.1 to 162 ng/g and from 35.3 to 962 ng/g, respectively. The concentration range of Σ16PAHs in the southern tributary and western tributary of Baishui River is 20.3-57.4 ng/L and 18.4-34.4 ng/L, respectively. The operation of the shale gas site may increase the concentrations of PAHs in the water of the southern tributary, but the affected range is limited and will not have obvious influence on the further downstream of the Baishui River. The percentages of low-molecular-weight-PAHs (2 and 3-rings) in the water and sediment/soil ranged from 59 to 82% and 15 to 42%, respectively. The source analysis results showed that the largest contributors for PAHs in the study area were petrogenic and petroleum combustion sources (37.3%), followed by coal/biomass combustion (31.9%), and traffic emission (30.8%). Multivariate linear regression (MLR) analysis revealed that spring water from the southern tributary (p < 0.01) contributed 41.9% of PAHs in the river water of the Baishui River, and spring water from the western tributary (p < 0.01) contributed 29.0% of PAHs in the water of the Baishui River; and soils (p < 0.01) contributed 38.9% of the PAHs in the sediments. PAHs can be transported further to downstream water under the control of the groundwater system and can also be transported from recharge zone soils to spring sediments through surface or subsurface transport processes. [Conclusion] This study characterized the transport process of PAHs in karst groundwater affected by shale gas exploitation, which is of great significance for karst groundwater resources and environmental protection in shale gas exploitation areas.
Indexes and multi-factor interaction analysis of flocculation efficiency for medicament-dissolved ultra-fine tailings
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250421
Abstract:
[Objective]This study aims to enhance flocculation-sedimentation performance by optimizing parameters such as slurry mass concentration,specific flocculant consumption, and agitation rate,thereby addressing issues like slow sedimentation speed and low dewatering efficiency during the filling of geotextile tubes with ultra-fine tailings.The ultimate goal is to improve the mechanical strength and storage stability of dewatered tailings. [Methods]Cylinder sedimentation tests were conducted using"flocculation efficiency"as the core evaluation metric.Single-factor analysis was employed to investigate the effects of slurry mass concentration,specific flocculant consumption,and agitation rate on flocculation performance.A three-factor, three-level Box-Behnken design(BBD)was utilized for response surface methodology(RSM)experiments.Design-Expert software was applied to establish a quantitative model between flocculation efficiency and various factors,analyzing multi-factor interactions and underlying mechanisms. [Results]Single-factor tests indicated that higher flocculation efficiency was achieved within the following ranges:slurry mass concentration of 4%-8%,specific flocculant consumption of 0.5-1.5 mL,and agitation rate of 300-500 r/min.Variance analysis of the response surface optimization model revealed the significance of factors affecting flocculation efficiency in descending order:square of agitation rate>square of slurry mass concentration>specific flocculant consumption>interaction between slurry mass concentration and specific flocculant consumption>slurry mass concentration>square of specific flocculant consumption>agitation rate>interaction between specific flocculant consumption and agitation rate>interaction between slurry mass concentration and agitation rate.The optimal parameter combination was identified as slurry mass concentration of 5.45%,specific flocculant consumption of 0.5mL,and agitation rate of 415r/min,yielding a predicted flocculation efficiency of 8.086%/ppm.The measured values aligned closely with predictions,exhibiting less than 5% error. [Conclusion]The established flocculation efficiency model effectively predicts the sedimentation performance of ultra-fine tailings.The response surface methodology successfully elucidates the mechanisms of multi-factor interactions,and the optimized parameters significantly enhance flocculation efficiency.This study provides a theoretical foundation and technical support for the dewatering process of geotextile tubes.
Seasonal identification of phosphorus sources in typical urban lake on phosphate oxygen isotope technology
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250434
Abstract:
[Objective]The source and concentration of phosphorus are key factors determining the occurrence of eutrophication in surface water, and accurately identifying the contribution of phosphorus pollution sources across different seasons serves as an important basis for realizing differentiated control of phosphorus. [Methods]This study focuses on Tangxun Lake (a typical urban lake) as the study area. It comprehensively adopts methods including field observation, phosphate oxygen isotope composition analysis, and MixSIAR model simulation to accurately analyze phosphorus pollution sources in different seasons and their contribution to dissolved inorganic phosphorus (DIP) in lake water. [Results]Results showed that during the wet season, urban stormwater sewage contributed the most to DIP in lake water, accounting for 35.8%, followed by domestic sewage (18.9%) and fishpond water (15.9%). In the dry season, the contribution of urban stormwater sewage to DIP was 30.7%, while that of domestic sewage was 21.4% and fishpond water was 18.7%. Overall, urban stormwater sewage had the highest contribution to DIP in lake water, but there were significant seasonal differences. These differences were mainly caused by the combination of excessive summer precipitation and strong microbial degradation. Several unknown phosphorus sources form a stable contribution system, ultimately resulting in no significant seasonal variation in the contribution of unknown sources to DIP in lake water. [Conclusion]This study clarifies the seasonal contribution characteristics of phosphorus sources in typical urban lake with complex pollution, and provides a scientific basis and technical reference for the accurate source identification and targeted control of phosphorus pollution in similar lakes.
Source and migration characteristics of tight gas in Upper Triassic Xujiahe Formation, northeastern Sichuan Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250391
Abstract:
In order to clarify the source and migration characteristics of natural gas in Xujiahe Formation and support efficient exploration of tight gas, northeastern Sichuan Basin. Based on the understanding of the structure, faults, and sedimentation, northeastern Sichuan Basin, comprehensive utilization of natural gas composition and stable carbon and hydrogen isotope data is carried out to analyze the geochemical characteristics, genesis and sources of natural gas; Furthermore, by combining formation pressure, migration characteristics was studied. The results indicate that the natural gas of T3x3 and T3x4 Members in Yuanba Area and T3x4 Member in Langzhong and Bazhong Area are mainly coal type gas, originating from the coal bearing source rocks of Xujiahe Formation. The natural gas of T3x2 Member in Yuanba Area is a mixture of coal type gas and oil type gas, sourced from Xujiahe Formation and Leikoupo Formation. The natural gas of T3x2 and T3x4 Members in Tongnanba anticline and Tongjiang depression is a mixture of oil type gas generated by Wujiaping Formation source rocks and its own coal type gas. Due to the different hydrocarbon supply of Xujiahe Formation, the carbon isotopes of different layers show regular changes. Natural gas has not undergone long-distance lateral migration, and there are two types of vertical migration characteristics: ①When the faults in Xujiahe Formation is underdeveloped and the thickness of T3x3 Members is large, natural gas has not undergone long-distance vertical migration. ②When the faults develop, high permeability fault-fractures bodies become channels for long-distance vertical migration of natural gas, promoting the mixing of gas in T3x2 and T3x4 Members, manifested as similar gas components and formation pressure characteristics.
The current microbial gas generation potential and the metabolic mechanism of the in situ microorganisms in the Jimsar area of southern Junggar Basin
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250382
Abstract:
[Objective] The Jimsar area in the southern margin of Junggar Basin is rich in low-medium rank coalbed methane(CBM) resources, showing obvious characteristics of microbial gas. Up to now, it is not clear whether there is active supply of microbial gas in Jimsar area, which restricts the evaluation of CBM resource potential and the next exploration deployment in this area. [Methods] In this paper, the water samples of CBM development wells and the coal samples of adjacent CBM parameter wells in Jimsar area are taken as the main research objects, and the actual coal reservoir medium environment is taken as the constraint condition. An anaerobic fermentation gas production simulation device under near in situ conditions was constructed. Based on the comparative analysis of gas production characteristics, pore volume and pore size changes of coal samples, microbial community structure evolution, and microbial gene function characteristics at different stages, the gas production potential and metabolic mechanism of in situ microorganisms in Jimsar area were discussed. [Results] The results showed that the in situ microorganisms in Jimsar area had the potential to produce microbial gas under the current conditions, and the cumulative gas production of CH4 in the experiment was 9.49 × 10-2 ml/g. It can be seen from the metagenomic sequencing that there are many types and high abundances of hydrolytic bacteria in the in situ microorganisms of Jimsar area. The typical acidogenic fermentation bacteria and hydrogen-producing acetogenic bacteria are relatively few, and the methanogenic archaea are mainly Methanosarcina. Although there are relatively few acidogenic fermentation bacteria and hydrogen-producing acetogenic bacteria, most of the hydrolytic bacteria can directly degrade the macromolecules in coal into short-chain fatty acids, acetic acid, hydrogen and carbon dioxide, which can provide sufficient substrates for methanogenic archaea. [Conclusion] In the early stage of anaerobic fermentation, Aliarcobacter rapidly proliferated and inhibited hydrolytic bacteria such as Pseudomonas. The functional abundance of carbohydrate metabolism,xenobiotics biodegradation and metabolism decreased, and the hydrolysis process was limited, which could not provide sufficient substrates for methanogens. The abundance of methanogen Methanosarcina decreased, and the amount of methane produced in the stage decreased. Subsequently, the abundance of Aliarcobacter decreased, the metabolic activity of hydrolytic bacteria was reactivated, the functional abundance of carbohydrate metabolism and xenobiotics biodegradation and metabolism increased, the substrates available for methanogens in the system were enriched, the abundance of methanogen Methanosarcina increased, and the amount of methane produced in the stage also increased simultaneously. The research results can provide theoretical basis for the evaluation of low-medium rank CBM resources, the formulation of exploration plan and the smooth implementation of coalbed gas bioengineering.
Mineral prospectivity mapping susceptibility evaluation based on ensemble learning: A case study of Fe-Au polymetallic skarn-type deposits in the Miaoshan-xintai area, western Shandong
, Available online  , doi: 10.19509/j.cnki.dzkq.tb20250333
Abstract:
Abstract: [Objective] Aiming at the limitation of the traditional metallogenic prediction model in the lack of multi-source data fusion ability under complex geological conditions, a metallogenic prediction method based on ensemble learning is proposed. [Methods] A two-layer Stacking integration strategy was adopted. Three algorithms, Random Forest, XGboost and Catboost, were integrated in the base learning layer. The meta learning layer used logistic regression algorithm to integrate the output of the base learning. At the same time, a screening mechanism based on the importance score is constructed to quantitatively analyze the influence of variables on the nonlinear model, so as to provide a basis for the optimization of geological variables. Taking the iron gold polymetallic skarn deposit in Miaoshan-Xintai area of Western Shandong Province as an example, 17 variables were selected as evaluation factors for prediction based on multi-source geological, geophysical and geochemical data. [Results] The results indicate that the integrated model outperforms the single model significantly across four metrics: accuracy, precision, F1 score, and AUC value. Furthermore, the metallogenic probability predictions made by the integrated model align well with the spatial distribution of known deposits. The feature recognition capabilities of the three types of base learners are complementary, and the integrated learning mechanism enhances the multi-dimensional representation of geological features. [Conclusion] Combined with the prediction results and the analysis of metallogenic geological background, three prospecting target areas are delineated in the Miaoshan-Xintai region of western Shandong, guiding the direction for subsequent exploration efforts. The design of the feature selection scorer holds significant value for methodological promotion. The method proposed in this study, which involves multi-source data fusion and collaborative optimization of heterogeneous models, significantly enhances prediction reliability and offers new technical support for the new round of strategic action to achieve a breakthrough in prospecting.