| Citation: | LIU Xianlu，HU Guangming，XIAO Hongping，et al. Hydrothermal sandstone geothermal-reservoir evaluation of the key oil-producing area in the Songliao Basin[J]. Bulletin of Geological Science and Technology，2025，44（4）：185-200 doi: 10.19509/j.cnki.dzkq.tb20240530
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Current industry criteria for geothermal-reservoir classification were established for high-quality hydrothermal systems (medium–high porosity and permeability). Consequently, most Chinese basinal reservoirs exhibit medium to low porosity and low permeability are misclassified as "poor," rendering the standards inapplicable. Moreover, the multi-parameter methods commonly used in pre-feasibility assessments require extensive data sets that are seldom, available during early exploration phases. Rapid, low-parameter evaluation protocols are therefore urgently needed.
Hydrothermal sandstone reservoirs in the Songliao Basin's key oil-producing area are typified by medium–thin beds, medium–low porosity, and low permeability. These characteri-stics are traditionally labelled as "poor." Using these reservoirs as a case study, we recalibrate the classification criteria for low-quality hydrothermal systems and develop parsimonious, rapid-assessment protocols that minimize data requirements.
First, the fundamental reservoir characteristics (thickness, porosity, and permeability) were statistically analyzed. The Golden Section Method was applied to classify parameter levels and establish evaluation criteria. Second, given the limited temperature variation among the studied low-temperature geothermal reservoirs, single-well daily production rate emerged as a critical evaluation metric. Consequently, sand body thickness, porosity, permeability, and single-well daily production rate within the study area were selected as input variables. Multivariate linear regression analysis was employed to derive a geothermal reservoir evaluation formula. This formula was then used to calculate evaluation unit scores, with final grading established using the Golden Section Method.
Pairwise comparison of the score rankings from this method against those of two established evaluation methods demonstrated the validity of incorporating sand body thickness while excluding temperature. Furthermore, the relatively high standard deviation of the scores obtained by this method enhances its ability to delineate variations among the evaluation units. Consequently, this approach demonstrates greater feasibility, and the formulated evaluation criteria are particularly well-suited for hydrothermal reservoirs with limited storage capacity.
The evaluation criteria for low-storage hydrothermal systems developed in this study provide a valuable reference for geothermal-reservoir assessment in other basins. While basin-specific heterogeneity limits the direct transferability of the concise, few-parameter rapid-assessment model, the methodological framework used to derive the evaluation equation offers a robust, replicable template for analogous studies.
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