Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yingshan-Pingchang area, northeast Sichuan

Introduction The Jurassic terrestrial shale in the Yingshan–Pingchang area of the northeastern Sichuan Basin holds substantial exploration and development potential. However, the area exhibits significant vertical heterogeneity and anisotropy in in-situ stress. Thus, precise vertical evaluation of in-situ stress is urgently required to provide a scientific basis for selecting hydraulic fracturing layers in future operations. Methods This study conducted a detailed in-situ stress analysis utilizing paleomagnetic data, velocity anisotropy measurements, differential strain experiments, hydraulic fracturing results, and both conventional and specialized logging data. A transversely isotropic in-situ stress prediction model was developed to evaluate the stress distribution, aiming to identify target layers favorable for hydraulic fracturing. Result Comprehensive analysis indicates that the in-situ stress orientation of Jurassic shale in the Yingshan-Pingchang area generally aligns with the regional stress orientation (NE90° ± 10°). Due to the influence of local NW-trending structures, the in-situ stress orientation exhibits a clockwise deflection. In the Jurassic formation, the maximum horizontal principal stress ranges from 42.33 MPa to 102.56 MPa, averaging 74.89 MPa; the minimum horizontal principal stress ranges from 39.20 MPa to 84.04 MPa, averaging 67.20 MPa; and the vertical principal stress varies between 31.91 MPa and 91.39 MPa, averaging 60.23 MPa. These findings were corroborated by in-situ stress measurements obtained through hydraulic fracturing, demonstrating that the stress magnitudes determined via differential strain analysis are highly accurate. The analysis of the three-dimensional stress relationships indicates that the study area predominantly exhibits a strike-slip faulting regime. Comparative analysis reveals that the minimum principal stress gradient in shale is higher than that in limestone and sandstone. Furthermore, the transverse isotropic in-situ stress prediction model demonstrates high accuracy. When comparing its predictions for minimum and maximum horizontal principal stresses to measured in-situ stress data, the model exhibits average relative errors of only 3.39% and 3.23%, respectively. Discussion In the study area, vertical high-low-high (HLH) stress difference profiles exhibit the highest oil-bearing potential and a reduced likelihood of fracturing-induced artificial fractures crossing through layers. This makes HLH profiles the optimal structural type for selecting fracturing stages in in-situ stress difference fracturing operations.

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Journal
Frontiers in Earth Science
Published
2025-03-20
DOI
https://doi.org/10.3389/feart.2025.1530002
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
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article

Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yingshan-Pingchang area, northeast Sichuan

Wenhao Xia, Jianliang Zhang, Shujun Yin, Hucheng Deng et al.
Frontiers in Earth Science
Hydrocarbon exploration and reservoir analysis
article

Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yingshan-Pingchang area, northeast Sichuan

Wenhao Xia, Jianliang Zhang, Shujun Yin, Hucheng Deng, Yu Du, Hao Qin, Tao Huang, Ming Gong, Li Chang
article en

Abstract

Introduction The Jurassic terrestrial shale in the Yingshan–Pingchang area of the northeastern Sichuan Basin holds substantial exploration and development potential. However, the area exhibits significant vertical heterogeneity and anisotropy in in-situ stress. Thus, precise vertical evaluation of in-situ stress is urgently required to provide a scientific basis for selecting hydraulic fracturing layers in future operations. Methods This study conducted a detailed in-situ stress analysis utilizing paleomagnetic data, velocity anisotropy measurements, differential strain experiments, hydraulic fracturing results, and both conventional and specialized logging data. A transversely isotropic in-situ stress prediction model was developed to evaluate the stress distribution, aiming to identify target layers favorable for hydraulic fracturing. Result Comprehensive analysis indicates that the in-situ stress orientation of Jurassic shale in the Yingshan-Pingchang area generally aligns with the regional stress orientation (NE90° ± 10°). Due to the influence of local NW-trending structures, the in-situ stress orientation exhibits a clockwise deflection. In the Jurassic formation, the maximum horizontal principal stress ranges from 42.33 MPa to 102.56 MPa, averaging 74.89 MPa; the minimum horizontal principal stress ranges from 39.20 MPa to 84.04 MPa, averaging 67.20 MPa; and the vertical principal stress varies between 31.91 MPa and 91.39 MPa, averaging 60.23 MPa. These findings were corroborated by in-situ stress measurements obtained through hydraulic fracturing, demonstrating that the stress magnitudes determined via differential strain analysis are highly accurate. The analysis of the three-dimensional stress relationships indicates that the study area predominantly exhibits a strike-slip faulting regime. Comparative analysis reveals that the minimum principal stress gradient in shale is higher than that in limestone and sandstone. Furthermore, the transverse isotropic in-situ stress prediction model demonstrates high accuracy. When comparing its predictions for minimum and maximum horizontal principal stresses to measured in-situ stress data, the model exhibits average relative errors of only 3.39% and 3.23%, respectively. Discussion In the study area, vertical high-low-high (HLH) stress difference profiles exhibit the highest oil-bearing potential and a reduced likelihood of fracturing-induced artificial fractures crossing through layers. This makes HLH profiles the optimal structural type for selecting fracturing stages in in-situ stress difference fracturing operations.

Frontiers in Earth ScienceVol. 13
Chengdu University of Technology (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), Research Institute of Petroleum Exploration and Development (CN)
Chengdu University of Technology
Openalex Percentile: Top 94%
Hydrocarbon exploration and reservoir analysis
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