Volume 32 Issue 2
Apr.  2026
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HOU S Y,WANG X Q,XIAN C G,et al.,xxxx. Research on high-precision one-dimensional geomechanical modeling of shale oil reservoirs[J]. Journal of Geomechanics,x(x):1−13 doi: 10.12090/j.issn.1006-6616.2025094
Citation: HOU S Y,WANG X Q,XIAN C G,et al.,xxxx. Research on high-precision one-dimensional geomechanical modeling of shale oil reservoirs[J]. Journal of Geomechanics,x(x):1−13 doi: 10.12090/j.issn.1006-6616.2025094

Research on high-precision one-dimensional geomechanical modeling of shale oil reservoirs

doi: 10.12090/j.issn.1006-6616.2025094
Funds:  This research was financially supported by the National Science and Technology Major Project for New Oil and Gas Exploration and Development (Grant No. 2025ZD1401403), and the General Program of the National Natural Science Foundation of China (Grant No. 42374132).
More Information
  • Received: 2025-07-30
  • Revised: 2025-11-29
  • Accepted: 2025-12-03
  • Available Online: 2026-03-19
  • Published: 2026-04-28
  •   Objective  The sweet spot intervals of shale oil reservoirs exhibit rapid vertical variations, are characterized by centimeter-scale thin interbeds and well-developed bedding planes, and possess strong anisotropy. Traditional isotropic models are therefore inadequate for detailed geomechanical modeling and characterization, posing significant challenges for reservoir stimulation and hydraulic fracturing design.   Methods  Geomechanics is key to the cost-effective development of oil and gas reservoirs with complex geological features. To establish a high-precision 1D geomechanical model, anisotropy experiments on shale oil reservoirs were conducted in the laboratory, perform 1D geomechanical modeling using well log data to analyze geomechanical characteristics.   Results  Systematically obtaining the anisotropic rock mechanical parameters of shale. Based on the rock mechanics experimental results and the anisotropic model, the depth-wise anisotropic stiffness matrix of the formation was derived from acoustic logging data, thereby obtaining anisotropic characterizations of mechanical parameters such as Young’s modulus, Poisson’s ratio, and compressive strength. Based on the acoustic-density log curves, the unloading characteristics of the study block were identified. Pore pressure was calculated using the Bowers unloading theory and calibrated with field Modular Formation Dynamics Tester data. By integrating a high-precision anisotropic rock mechanics model with pore pressure data, a higher-accuracy two-way horizontal principal stress field was derived using an anisotropic elastic model. This enabled the construction of a high-precision 1D anisotropic geomechanical model, demonstrating significantly improved accuracy compared to the isotropic model.   Conclusions  This study established an anisotropic 1D geomechanical modeling workflow, which provides a theoretical basis and technical support for oil and gas reservoir stimulation and fracturing program design. Systematic laboratory experimental studies on shale oil reservoir anisotropy were conducted to obtain the anisotropic rock mechanical parameters of the shale. These parameters were used to provide anisotropic rock mechanical data for the 1D geomechanical modeling. Based on the high-precision anisotropic rock mechanical model and pore pressure, the anisotropic elastic model was employed to determine the two-way horizontal principal stress with higher accuracy. The precision was significantly improved by approximately 7% compared to the isotropic model. The model was validated against field data such as well history records, revealing the distribution characteristics of anisotropic geomechanical parameters and in-situ stress along the wellbore. [ Significance ] The research findings serve as a foundational basis for the integration of Geo-engineering Integration, providing theoretical guidance and technical support for reservoir stimulation and hydraulic fracturing design.

     

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  • [1]
    BOWERS G L, 1994. Pore pressure estimation from velocity data: accounting from overpressure mechanisms besides undercompaction: Proceedings of the IADC/SPE drilling conference, Dallas, 1994, (IADC/SPE), 1994, pp 515–530[J]. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 31(6): 276.
    [2]
    CAO H, ZHAO Y, SHUAI D, et al., 2024. Using 3D seismic data to estimate stress based on seismic curvature attribute of HTI medium: application to the Weiyuan, southern Sichuan Basin, China[J]. Chinese Journal of Geophysics, 67(5): 1970-1986. (in Chinese with English abstract)
    [3]
    FAN H H, 2001. New methods for prediction and evaluation of formation pore pressure[D]. Beijing: China University of Petroleum: 92-99. (in Chinese)
    [4]
    FENG S K, XIONG L, DONG X X, et al., 2025. Quantitative evaluation of Young’s modulus and Poisson’s ratio for deep shale gas reservoirs[J]. Natural Gas Exploration and Development, 48(3): 64-75. (in Chinese with English abstract)
    [5]
    HE X, LI W G, DANG L R, et al., 2021. Key technological challenges and research directions of deep shale gas development[J]. Natural Gas Industry, 41(1): 118-124. (in Chinese with English abstract)
    [6]
    HENG S, YANG C H, ZHANG B P, et al., 2015. Experimental research on anisotropic properties of shale[J]. Rock and Soil Mechanics, 36(3): 609-616. (in Chinese with English abstract) doi: 10.56952/arma-2023-0128
    [7]
    HONG Y, YAN J P, GUO W, et al., 2025. Mechanical parameters and anisotropy of deep shale-gas reservoir rocks, southern Sichuan Basin[J]. Natural Gas Exploration and Development, 48(1): 30-39. (in Chinese with English abstract)
    [8]
    HU S Y, BAI B, TAO S Z, et al., 2022. Heterogeneous geological conditions and differential enrichment of medium and high maturity continental shale oil in China[J]. Petroleum Exploration and Development, 49(2): 224-237. (in Chinese with English abstract) doi: 10.46427/gold2020.106
    [9]
    LI Q H, LI S X, LIU W Z, 2021. Rock mechanical properties of deep shale gas reservoirs and their influence on fracturing stimulation[J]. Special Oil & Gas Reservoirs, 28(3): 130-138. (in Chinese with English abstract)
    [10]
    LIU W H, WANG Y, CHEN Z Q, et al., 2025. Anisotropic dynamic-static elastic parameter correlations for Jurassic lacustrine shales[J]. Chinese Journal of Geophysics, 68(1): 213-228. (in Chinese with English abstract)
    [11]
    MA Y S, CAI X Y, ZHAO P R, et al., 2022. Geological characteristics and exploration practices of continental shale oil in China[J]. Acta Geologica Sinica, 96(1): 155-171. (in Chinese with English abstract)
    [12]
    SCHOENBERG M, MUIR F, SAYERS C M, 1996. Introducing ANNIE: a simple three-parameter anisotropic velocity model for shales[J]. Journal of Seismic Exploration, 5(1): 35-49.
    [13]
    SHAD S, KOLAHKAJ P, ZIVAR D, 2023. Geomechanical analysis of an oil field: numerical study of wellbore stability and reservoir subsidence[J]. Petroleum Research, 8(3): 350-359. doi: 10.1016/j.ptlrs.2022.08.002
    [14]
    SHU H L, QIU K B, LI Q F, et al., 2021. A method for evaluating the geomechanical characteristics of shale gas: the geomechanical characteristics of the mountain shale in the intensively reworked marine area of South China[J]. Natural Gas Industry, 41(S1): 1-13. (in Chinese with English abstract)
    [15]
    SUAREZ-RIVERA R, HANDWERGER D, HERRERA A R, et al. , 2013. Development of a heterogeneous earth model in unconventional reservoirs, for early assessment of reservoir potential[C]//47th U. S. rock mechanics/geomechanics symposium. San Francisco: ARMA.
    [16]
    TANG H M, TANG Y, ZHENG M J, et al., 2022. An experimental study on lamina and fracture mode of shale[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 44(4): 51-61. (in Chinese with English abstract)
    [17]
    THOMSEN L, 1986. Weak elastic anisotropy[J]. Geophysics, 51(10): 1954-1966. doi: 10.1190/1.1442051
    [18]
    VERNIK L, LIU X Z, 1997. Velocity anisotropy in shales: a petrophysical study[J]. Geophysics, 62(2): 521-532. doi: 10.1190/1.1444162
    [19]
    VERNIK L, NUR A, 1992. Ultrasonic velocity and anisotropy of hydrocarbon source rocks[J]. Geophysics, 57(5): 727-735. doi: 10.1190/1.1443286
    [20]
    WANG K, DAI J S, FENG J W, et al., 2014. Research on reservoir rock mechanical parameters of Keshen foreland thrust belt in Tarim Basin[J]. Journal of China University of Petroleum (Edition of Natural Science), 38(5): 25-33. (in Chinese with English abstract)
    [21]
    WANG X Q, GE H K, SONG L L, et al., 2011. Experimental study of two types of rock sample acoustic emission events and Kaiser effect point recognition approach[J]. Chinese Journal of Rock Mechanics and Engineering, 30(3): 580-588. (in Chinese with English abstract)
    [22]
    WANG X Q, GE H K, WANG W W, et al., 2021. Experimental study on stress-related and matrix-related anisotropy in tight reservoirs[J]. Chinese Journal of Geophysics, 64(12): 4239-4251. (in Chinese with English abstract)
    [23]
    WANG X Q, ZHONG Y, HOU S Y et al., 2025. The experimental study of shale laminae influence on the mechanical properties and brittle failure of shale oil reservoirs[J]. Physics of Fluids, 37(5): 056623. doi: 10.1063/5.0268210
    [24]
    WANG X Q, ZHONG Y, WAN Y Y, et al., 2025. Influence of laminae on mechanical properties and its implications for hydraulic fracturing of shale oil reservoirs[J]. Journal of China University of Petroleum (Edition of Natural Science), 49(1): 92-100. (in Chinese with English abstract)
    [25]
    XIAN C G, ZHANG J H, CHEN X, et al., 2017. Application of geomechanics in geology-engineering integration[J]. China Petroleum Exploration, 22(1): 75-88. (in Chinese with English abstract)
    [26]
    YANG Y H, SUN D S, MA X D, et al., 2025. A total system stiffness approach for determining shut-in pressure in hydraulic fracturing stress measurements[J]. International Journal of Rock Mechanics and Mining Sciences, 192: 106160. doi: 10.1016/j.ijrmms.2025.106160
    [27]
    YONG S H, ZHANG C M, GAO C Q, et al. , 1996. Logging data processing and comprehensive interpretation[M]. Dongying: China University of Petroleum Press: 120-348. (in Chinese)
    [28]
    ZHANG J L, GE H K, ZHANG Y J, et al. , 2023. Experimental evaluation on EOR medium grading of shale in Jimusaer Oilfield[J]. Oil Drilling & Production Technology, 45(2): 244-250, 258. (in Chinese with English abstract)
    [29]
    ZHANG S L, YAN J P, GUO W, et al., 2023. Logging evaluation method of geological-engineering sweet spot parameters for deep shale gas based on petrophysical facies: a case study of the Wufeng-Longmaxi Formation in LZ block of Sichuan Basin[J]. Oil Geophysical Prospecting, 58(1): 214-227. (in Chinese with English abstract)
    [30]
    ZHAO W Z, ZHU R K, ZHANG J Y, et al., 2023. Classification, exploration and development status and development trend of continental shale oil in China[J]. China Petroleum Exploration, 28(4): 1-13. (in Chinese with English abstract)
    [31]
    ZOBACK M D, KOHLI A H, 2019. Unconventional reservoir geomechanics[M]. Cambridge: Cambridge University Press.
    [32]
    ZOU C N, ZHU R K, WU S T, et al., 2012. Types, characteristics, genesis and prospects of conventional and unconventional hydrocarbon accumulations: taking tight oil and tight gas in China as an instance[J]. Acta Petrolei Sinica, 33(2): 173-187. (in Chinese with English abstract)
    [33]
    ZOU X J, CHEN Y L, 2018. Geostress logging evaluation method of Longmaxi Formation shale in Fuling area based on transversely isotropic model, Sichuan Basin[J]. Natural Gas Geoscience, 29(12): 1775-1780, 1808. (in Chinese with English abstract)
    [34]
    曹欢, 赵杨, 帅达, 等, 2024. 基于HTI介质地震曲率属性的地应力估算方法及其在威远地区的应用[J]. 地球物理学报, 67(5): 1970-1986. doi: 10.6038/cjg2023Q0791
    [35]
    樊洪海, 2001. 地层孔隙压力预测检测新方法研究与应用[D]. 北京: 石油大学: 92-99.
    [36]
    冯少柯, 熊亮, 董晓霞, 等, 2025. 深层页岩气储层杨氏模量、泊松比定量评价[J]. 天然气勘探与开发, 48(3): 64-75. doi: 10.12055/gaskk.issn.1673-3177.2025.03.007
    [37]
    何骁, 李武广, 党录瑞, 等, 2021. 深层页岩气开发关键技术难点与攻关方向[J]. 天然气工业, 41(1): 118-124. doi: 10.3787/j.issn.1000-0976.2021.01.010
    [38]
    衡帅, 杨春和, 张保平, 等, 2015. 页岩各向异性特征的试验研究[J]. 岩土力学, 36(3): 609-616. doi: 10.16285/j.rsm.2015.03.001
    [39]
    洪宇, 闫建平, 郭伟, 等, 2025. 川南深层页岩气储层岩石力学参数及各向异性特征[J]. 天然气勘探与开发, 48(1): 30-39.
    [40]
    胡素云, 白斌, 陶士振, 等, 2022. 中国陆相中高成熟度页岩油非均质地质条件与差异富集特征[J]. 石油勘探与开发, 49(2): 224-237.
    [41]
    李庆辉, 李少轩, 刘伟洲, 2021. 深层页岩气储层岩石力学特性及对压裂改造的影响[J]. 特种油气藏, 28(3): 130-138.
    [42]
    刘卫华, 王洋, 陈祖庆, 等, 2025. 侏罗系陆相页岩各向异性动静态弹性参数建模[J]. 地球物理学报, 2025, 68(1): 213-228.
    [43]
    马永生, 蔡勋育, 赵培荣, 等, 2022. 中国陆相页岩油地质特征与勘探实践[J]. 地质学报, 96(1): 155-171. doi: 10.3969/j.issn.0001-5717.2022.01.013
    [44]
    舒红林, 仇凯斌, 李庆飞, 等, 2021. 页岩气地质力学特征评价方法: 中国南方海相强改造区山地页岩地质力学特征[J]. 天然气工业, 41(S1): 1-13.
    [45]
    唐洪明, 唐园, 郑马嘉, 等, 2022. 页岩纹层与破裂方式实验研究[J]. 西南石油大学学报(自然科学版), 44(4): 51-61. doi: 10.11885/j.issn.1674-5086.2020.10.08.02
    [46]
    王珂, 戴俊生, 冯建伟, 等, 2014. 塔里木盆地克深前陆冲断带储层岩石力学参数研究[J]. 中国石油大学学报(自然科学版), 38(5): 25-33. doi: 10.3969/j.issn.1673-5005.2014.05.004
    [47]
    王小琼, 葛洪魁, 宋丽莉, 等, 2011. 两类岩石声发射事件与Kaiser效应点识别方法的试验研究[J]. 岩石力学与工程学报, 30(3): 580-588.
    [48]
    王小琼, 葛洪魁, 王文文, 等, 2021. 致密储层岩石应力各向异性与材料各向异性的实验研究[J]. 地球物理学报, 64(12): 4239-4251. doi: 10.6038/cjg2021P0040
    [49]
    王小琼, 钟毅, 万有余, 等, 2025. 纹层对页岩力学性质的影响及其对水力压裂的启示[J]. 中国石油大学学报(自然科学版), 49(1): 92-100. doi: 10.3969/j.issn.1673-5005.2025.01.009
    [50]
    鲜成钢, 张介辉, 陈欣, 等, 2017. 地质力学在地质工程一体化中的应用[J]. 中国石油勘探, 22(1): 75-88. doi: 10.3969/j.issn.1672-7703.2017.01.010
    [51]
    雍世和, 张超谟, 高楚桥, 等, 1996. 测井数据处理与综合解释[M]. 东营: 中国石油大学出版社: 120-348.
    [52]
    张佳亮, 葛洪魁, 张衍君, 等, 2023. 吉木萨尔页岩油注入介质梯级提采实验评价[J]. 石油钻采工艺, 45(2): 244-250, 258.
    [53]
    张少龙, 闫建平, 郭伟, 等, 2023. 基于岩石物理相的深层页岩气地质—工程甜点参数测井评价方法: 以四川盆地LZ区块五峰组—龙马溪组为例[J]. 石油地球物理勘探, 58(1): 214-227. doi: 10.13810/j.cnki.issn.1000-7210.2023.01.023
    [54]
    赵文智, 朱如凯, 张婧雅, 等, 2023. 中国陆相页岩油类型、勘探开发现状与发展趋势[J]. 中国石油勘探, 28(4): 1-13. doi: 10.3969/j.issn.1672-7703.2023.04.001
    [55]
    邹才能, 朱如凯, 吴松涛, 等, 2012. 常规与非常规油气聚集类型、特征、机理及展望: 以中国致密油和致密气为例[J]. 石油学报, 33(2): 173-187.
    [56]
    邹贤军, 陈亚琳, 2018. 四川盆地涪陵地区龙马溪组页岩横向各向同性地应力测井评价方法[J]. 天然气地球科学, 29(12): 1775-1780, 1808. doi: 10.11764/j.issn.1672-1926.2018.10.017
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