Insights into the Multiscale Conductivity Mechanism of Marine Shales from Wufeng–Longmaxi Formation in the Southern Sichuan Basin of China
Publication: Journal of Energy Engineering
Volume 149, Issue 3
Abstract
Gas-bearing capacity is an important feature in the evaluation of the different properties of shale. The calculation of adsorbed gas and free gas content is the focus of the shale gas-bearing capacity evaluation, for which gas saturation is a key parameter. In the present study, the target area was the marine shales of the Wufeng–Longmaxi Formation in the Dingshan, Jiaoshiba, and Changning areas of the southern Sichuan Basin in China, while the purpose of the study was the more effective characterization of Langmuir’s volume and Langmuir’s pressure using well-logging data. The application of new well-logging technologies in the evaluation of shale gas-bearing capacity is seldom studied, and the conventional sand-mudstone saturation models calculate the shale gas-bearing capacity with low accuracy. Therefore, this study systematically analyzed the shale conductivity mechanism, which laid the foundation for a new calculation model for shale gas saturation. The analysis results of the influencing factors of shale conductivity in the study area showed that the resistivity of shale in the interlayer is mainly affected by the thin low-resistivity layers, and the resistivity of shale in laminates is affected by clay minerals, pyrite, overmature conductive organic matter, and pore fluids. Moreover, this study further clarified the main controlling factors of the conductivity mechanism by implementing a multiscale analysis. Herein, on the meter-scale, the influence of thin low-resistivity layers on the shale resistivity was characterized based on a horizontal resistivity model; on the centimeter-scale, the influence of pore fluids on shale resistivity was investigated based on the rock electrical experiments; and on the nanometer-scale, the influence of clay minerals, pyrite, and organic materials on shale resistivity was examined based on digital rock technology and numerical simulation of the electrical properties. The results showed that the factors affecting the conductivity of the shale, from the strongest to the weakest, are conductive organic matter, thin low-resistivity layer, clay mineral, pore water, and pyrite, respectively.
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Data Availability Statement
All data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the Youth Program of National Natural Science Foundation of China (Grant No. 42204105), the China Postdoctoral Science Foundation (Grant No. 2021M700525), the National Natural Science Foundation of Shaanxi Province of China (Grant No. 2022JQ-293), the High-level Innovation and Entrepreneurship Talent Program of Qinchuangyuan (Grant No. QCYRCXM-2022-24), and the National Natural Science Foundation of Shandong Province of China (Grant No. ZR2022QD080).
Author Contributions: Huaimin Dong: investigation, writing-original draft preparation and funding acquisition; Xin Zeng: investigation, petrophysical experiment and methodology; Dalin Zhou: data curation and images processing; Jinjiang Zhu: visualization and data processing; Naser Golsanami: supervision, writing-reviewing and editing; language editing; Jianmeng Sun: conceptualization, supervision and funding acquisition; and Yihuai Zhang: writing-reviewing and editing.
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Published In
Journal of Energy Engineering
Volume 149 • Issue 3 • June 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 21, 2022
Accepted: Jan 9, 2023
Published online: Feb 25, 2023
Published in print: Jun 1, 2023
Discussion open until: Jul 25, 2023
ASCE Technical Topics:
- Basins
- Bodies of water (by type)
- Chemicals
- Chemistry
- Clays
- Engineering fundamentals
- Environmental engineering
- Geology
- Geomechanics
- Geotechnical engineering
- Material mechanics
- Material properties
- Materials engineering
- Minerals
- Models (by type)
- Numerical models
- Organic chemicals
- Organic compounds
- Organic matter
- Rock mechanics
- Rock properties
- Rocks
- Shale
- Soil mechanics
- Soil properties
- Soils (by type)
- Water and water resources
- Water management
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- Guodong Cui, Xianzhi Song, Wei Guo, Yu Jing, Mengmeng Zhou, Advances in Subsurface Energy Exploitation and Storage, Journal of Energy Engineering, 10.1061/JLEED9.EYENG-5423, 150, 3, (2024).