黔西南下石炭统打屋坝组页岩的天文旋回识别及层序地层划分

王嘉伟; 金思丁; 魏祥峰; 郝景宇; 陈义才; 李露艳; 马超

doi:10.19509/j.cnki.dzkq.tb20230546

黔西南下石炭统打屋坝组页岩的天文旋回识别及层序地层划分

doi: 10.19509/j.cnki.dzkq.tb20230546

王嘉伟^{1a, 1b,},
金思丁^{1a, 1b, ,},
魏祥峰²,
郝景宇²,
陈义才^{1a, 1b},
李露艳^{1a, 1b},
马超^{1b, 1c}

1a .
成都理工大学：能源学院
1b .
成都理工大学：油气藏地质及开发工程国家重点实验室
1c .
成都理工大学：沉积地质研究院，成都 610059
2 .
中国石化勘探分公司，成都 610059

基金项目: 国家自然科学基金项目（42172137）

详细信息

作者简介:
王嘉伟：E-mail：1091924996@qq.com

通讯作者:
E-mail：jinsiding@cdut.edu.cn

中图分类号: P618.13
计量
- 文章访问数: 569
- PDF下载量: 47
- 被引次数: 0
出版历程
- 收稿日期: 2023-09-26
- 录用日期: 2024-01-18
- 修回日期: 2023-10-24
- 网络出版日期: 2024-02-26

Orbital cycle recognition and sequence stratigraphic division of the Lower Carboniferous Dawuba Formation shales in Southwest Guizhou

WANG Jiawei^{1a, 1b
,},
JIN Siding^{1a, 1b
, ,},
WEI Xiangfeng²,
HAO Jingyu²,
CHEN Yicai^{1a, 1b},
LI Luyan^{1a, 1b},
MA Chao^{1b, 1c}

1a .
College of Energy, Chengdu University of Technology
1b .
National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology
1c .
Institute of Sedimentary Geology, Chengdu University of Technology, Chengdu 610059, China, Chengdu University of Technology
2 .
SINOPEC Exploration Company, Chengdu 610041, China

More Information

Author Bio:
E-mail：1091924996@qq.com

Corresponding author: E-mail：jinsiding@cdut.edu.cn

摘要

摘要:
黔西南下石炭统打屋坝组发育了一套极具勘探潜力的页岩地层。目前，关于该套地层的层序划分方案和层序发育机制存在分歧，一定程度制约了该套优质页岩空间展布规律的认识。选取黔西南黔水地1井下石炭统打屋坝组（1457～2466 m）页岩为研究对象，以自然伽马测井曲线为替代指标，采用时间序列分析、合成预测误差滤波分析（INPEFA）和小波分析等方法，开展旋回地层学分析与层序地层学研究，旨在从天文旋回的角度，实现对该套页岩的层序地层“定量”划分。研究表明，黔西南下石炭统打屋坝组页岩地层记录了天文周期信号，相关系数法（COCO）估算显示其最优沉积速率为16.4 cm/ka，对应405 ka长偏心率周期的66.42 m沉积厚度。对黔水地1井GR分段（1457～1932 m和1932～2466 m）进行频谱分析和天文检验，上段和下段的最优沉积速率分别为16.5，11.2 cm/ka，打屋坝组一共记录了19个长偏心率周期，建立了“浮动”天文年代标尺，估算持续时限约7.86 Ma。通过沉积噪音模型（DYNOT和ρ1）恢复了相对海平面变化曲线。在旋回地层学研究建立的时间框架基础上，结合相对海平面极值、INPEFA和小波分析，识别了6个三级层序界面，划分出5个三级层序，并认为三级层序的发育受控于稳定的约1.2 Ma斜率振幅调制周期。应用旋回地层学开展了黔西南打屋坝组页岩地层的层序划分，探讨不同时间尺度下天文轨道参数与相对海平面变化的关系，实现了三级及四级层序地层的划分。该方法为海相页岩万年时间尺度的等时对比提供了可能，可为页岩油气勘探中优质烃源岩发育层段的预测提供精细的年代框架，进而为页岩油气勘探提供理论指导。
- 旋回地层学 /
- 时间序列分析 /
- 层序地层学 /
- 海平面变化 /
- 斜率调幅 /
- 页岩 /
- 黔西南
Abstract: <p>The Lower Carboniferous Dawuba Formation in Southwest Guizhou hosts a shale sequence with significant exploration potential. Current disagreements regarding its sequence division scheme and developmental mechanisms have somewhat hindered the understanding of the spatial distribution patterns of this high-quality shale.</p></sec><sec><title>Objective
Therefore, this study focuses on the Lower Carboniferous Dawuba Formation shale (interval 1457–2466 m) from the Well Qian Shui Di-1 in Southwest Guizhou.
Methods
Utilizing the natural gamma ray (GR) log as a proxy indicator, methods including time series analysis, INPEFA (integrated noise-enhanced population evolutionary frequency analysis), and wavelet analysis were applied to conduct cyclostratigraphic and sequence stratigraphic investigations. The aim is to achieve a "quantitative" division of the sequence stratigraphy for this shale unit from an astronomical forcing perspective.
Results
The results demonstrate that the Dawuba Formation shale records clear astronomical periodic signals. COCO (correlation coefficient) analysis estimates an optimal average sedimentation rate of 16.4 cm/ka, corresponding to a sediment thickness of 66.42 m for the 405 ka long eccentricity cycle. Spectral analysis and astronomical tuning were performed on segmented GR data from the Well Qian Shui Di-1 (upper segment: 1457-1932 m; lower segment: 1932-2466 m). The optimal sedimentation rates for the upper and lower segments are 16.5 cm/ka and 11.2 cm/ka, respectively. The entire Dawuba Formation recorded 19 long eccentricity cycles, enabling the establishment of a "floating" astronomical time scale, which estimates a total duration of approximately 7.86 Ma for the formation. Furthermore, relative sea-level change curves were reconstructed using sedimentary noise modeling (DYNOT and ρ1 methods).Building upon the temporal framework established by cyclostratigraphy, and integrating relative sea-level extrema, INPEFA, and wavelet analysis results, six third-order sequence boundaries were identified, dividing the formation into five third-order sequences. The development of these third-order sequences is interpreted to be controlled by a stable approximately 1.2 Ma obliquity amplitude modulation cycle.
Conclusion
By applying cyclostratigraphy to the sequence division of the Dawuba Formation shale, this study explores the relationship between astronomical orbital parameters and relative sea-level change at different temporal scales, achieving the division of both third-order and fourth-order sequences. This methodology enables potential high-resolution (10000-year scale) chronostratigraphic correlation of marine shales. It provides a refined temporal framework for predicting intervals of high-quality source rock development within shale sequences, thereby offering crucial theoretical guidance for shale oil and gas exploration.
- cyclostratigraphy /
- time series analysis /
- sequence stratigraphy /
- sea-level change /
- obliquity amplitude modulation /
- shale /
- Southwest Guizhou

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图 1 区域地质图

a. 早石炭世全球古地理图；b. 黔西南地区下石炭统沉积相；c. 黔西南地区下石炭统旧司组生物地层柱状图

Figure 1. Regional geological map

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图 2 垭都−紫云−罗甸断裂带井间地层格架对比^[43]

Figure 2. Inter-well stratigraphic framework correlation in the Yadu-Ziyun-Luodian fault zone

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图 3 INPEFA、小波变换及三级层序划分

a. 黔水地1井GR去趋势化和INPEFA曲线；b. 尺度因子a=64，128，512 3种分辨率的小波能谱图；c. 打屋坝组层序地层划分方案；SB1～SB6. 三级层序界面；SQ1～SQ5. 三级层序

Figure 3. INPEFA, wavelet transform and three-level sequence division

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图 4 频谱分析及滤波

b. 上段（1457～1932 m）405 ka和下段（1932～2466 m）405 ka滤波曲线；图e～g中数字为地层中存在的米兰科维奇周期厚度（m）；e～g图中E，e，O，P均为米兰科维奇周期代号；d图中E. 长偏心率；e1，e2. 短偏心率；O. 斜率；P. 岁差；CL. 置信水平；下同

Figure 4. Spectral analysis and filtering

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图 5 COCO及eCOCO分析

a～d. 黔水地1井整段（1457～2466 m）使用窗口150 m的eCOCO分析和COCO分析；e，f. 上段（1457～1932 m）COCO分析；g，h. 下段（1932～2466 m）COCO分析。图d，f，h中虚线代表不同的最优沉积速率的显著水平，超过10⁻³代表可信度最高；图c～h中数字代表确定的最可能的最优沉积速率

Figure 5. COCO and eCOCO analysis

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图 6 黔水地1井打屋坝组三级层序划分

黔水地1井、三级层序划分、DYNOT和ρ1模型周期和斜率调幅周期的相关性；a. 黔水地1井的GR；b. 黔水地1井深度域的405 ka滤波曲线（带宽范围为0.0189～0.018 cycles/m）；c. 基于黔水地1井去趋势深度域GR的ρ1模型海平面曲线模拟；d. 整段（1457～2466 m）的沉积速率曲线；e. 黔水地1井的405 ka校准GR时间序列；f. 时间域的滑动窗口频谱分析；g. 黔水地1井的调谐GR时间序列的405 ka滤波曲线，E1～E19为识别到的405 ka偏心率个数；h. 黔水地1井405 ka调谐GR时间序列中斜率信号的调幅（AM）；黄线是36 ka的斜率滤波器，带宽为0.0215～0.0245 cycles/ka；i. 黔水地1井轨道斜率1.2 Ma调幅滤波曲线，带宽范围为0.0006～0.001 cycles/m，图中1～6为识别到的1.2 Ma的超长斜率个数；j. 基于黔水地1井405 ka调谐GR时间序列的DYNOT模型海平面曲线模拟，图中1～6为在DYNOT中值曲线中识别到的1.2 Ma的周期个数；k. 基于黔水地1井405 ka调谐GR时间序列的ρ1模型海平面曲线模拟；l. 黔水地1井DYNOT中值曲线的 1.2 Ma滤波曲线，带宽范围为0.0006～0.001 cycles/ka；m. 338.8～346.7 Ma全球海平面变化曲线

Figure 6. Three levels of sequence division of Well QianShuiDi 1 Dawuba Formation

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图 7 斜率包络线(a)及DYNOT中值(b)频谱分析

Figure 7. Simple periodograms of the AM envelopes (a) and the DYNOT median (b)

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