IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v268y2023ics0360544223001536.html
   My bibliography  Save this article

Study on hydro-mechanical-damage coupling seepage in digital shale cores: A case study of shale in Bohai Bay Basin

Author

Listed:
  • Xie, Yetong
  • Li, Jing
  • Liu, Huimin
  • Zhang, Kuihua
  • Li, Junliang
  • Li, Chuanhua
  • Zhu, Rui

Abstract

The 3D digital core was reconstructed based on a CT scanning test, and the digital cores seepage simulation was investigated to study the shale's microscopic seepage characteristics. In detail, we discussed the effects of confining pressure, fluid pressure, and pore structure on the micro seepage of shale. The results showed that: (1) The confining pressure negatively affected the average velocity of the fluid, whether in pores, matrix, or the entire digital core. Due to the effect of confining pressure on fluid velocity, there was a significant negative exponential relation between permeability and confining pressure, with the confining pressure increasing from 5 MPa to 70 MPa (2) The fluid pressure positively affected the fluid velocity. Because of the effect of fluid pressure on fluid velocity, the permeability and the fluid pressure in simulation showed a significant positive exponential function relation, with the fluid pressure increasing from 1 MPa to 20 MPa (3) The fluid seepage was intensified when the flaky connected fracture was parallel to the fluid pressure direction. However, when the flaky connected fracture was perpendicular to the fluid pressure direction, it would hinder fluid seepage. (4) Permeability was positively correlated with porosity and fractal dimension but negatively correlated with tortuosity.

Suggested Citation

  • Xie, Yetong & Li, Jing & Liu, Huimin & Zhang, Kuihua & Li, Junliang & Li, Chuanhua & Zhu, Rui, 2023. "Study on hydro-mechanical-damage coupling seepage in digital shale cores: A case study of shale in Bohai Bay Basin," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223001536
    DOI: 10.1016/j.energy.2023.126759
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223001536
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.126759?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Silin, Dmitriy & Patzek, Tad, 2006. "Pore space morphology analysis using maximal inscribed spheres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 336-360.
    2. Mei, Yingdan & Liu, Wenbo & Wang, Jianliang & Bentley, Yongmei, 2022. "Shale gas development and regional economic growth: Evidence from Fuling, China," Energy, Elsevier, vol. 239(PC).
    3. Li, Jing & Xie, Yetong & Liu, Huimin & Zhang, Xuecai & Li, Chuanhua & Zhang, Lisong, 2023. "Combining macro and micro experiments to reveal the real-time evolution of permeability of shale," Energy, Elsevier, vol. 262(PB).
    4. Solarin, Sakiru Adebola & Gil-Alana, Luis A. & Lafuente, Carmen, 2020. "An investigation of long range reliance on shale oil and shale gas production in the U.S. market," Energy, Elsevier, vol. 195(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Jiangtao & Zhou, Xiaofeng & Gayubov, Abdumalik & Shamil, Sultanov, 2023. "Study on production performance characteristics of horizontal wells in low permeability and tight oil reservoirs," Energy, Elsevier, vol. 284(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jing & Xie, Yetong & Liu, Huimin & Zhang, Xuecai & Li, Chuanhua & Zhang, Lisong, 2023. "Combining macro and micro experiments to reveal the real-time evolution of permeability of shale," Energy, Elsevier, vol. 262(PB).
    2. Shuguang Liu & Jiayi Wang & Yin Long, 2023. "Research into the Spatiotemporal Characteristics and Influencing Factors of Technological Innovation in China’s Natural Gas Industry from the Perspective of Energy Transition," Sustainability, MDPI, vol. 15(9), pages 1-34, April.
    3. Yang, Jinghua & Wang, Min & Wu, Lei & Liu, Yanwei & Qiu, Shuxia & Xu, Peng, 2021. "A novel Monte Carlo simulation on gas flow in fractal shale reservoir," Energy, Elsevier, vol. 236(C).
    4. Kristina Rasmusson & Maria Rasmusson & Alexandru Tatomir & Yvonne Tsang & Auli Niemi, 2021. "Exploring residual CO2 trapping in Heletz sandstone using pore‐network modeling and a realistic pore‐space topology obtained from a micro‐CT scan," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(5), pages 907-923, October.
    5. Yang, Xu & Zhou, Wenning & Liu, Xunliang & Yan, Yuying, 2020. "A multiscale approach for simulation of shale gas transport in organic nanopores," Energy, Elsevier, vol. 210(C).
    6. Wang, Haijun & Liu, Weiguo & Wu, Peng & Pan, Xuelian & You, Zeshao & Lu, Jingsheng & Li, Yanghui, 2023. "Gas recovery from marine hydrate reservoir: Experimental investigation on gas flow patterns considering pressure effect," Energy, Elsevier, vol. 275(C).
    7. Hai Sun & Lian Duan & Lei Liu & Weipeng Fan & Dongyan Fan & Jun Yao & Lei Zhang & Yongfei Yang & Jianlin Zhao, 2019. "The Influence of Micro-Fractures on the Flow in Tight Oil Reservoirs Based on Pore-Network Models," Energies, MDPI, vol. 12(21), pages 1-17, October.
    8. He, Qianyang & Li, Delu & Sun, Qiang & Wei, Baowei & Wang, Shaofei, 2022. "Main controlling factors of marine shale compressive strength: A case study on the cambrian Niutitang Formation in Dabashan Mountain," Energy, Elsevier, vol. 260(C).
    9. Tian, Feng & Wang, Junlei & Xu, Zhenhua & Xiong, Fansheng & Xia, Peng, 2023. "A nonlinear model of multifractured horizontal wells in heterogeneous gas reservoirs considering the effect of stress sensitivity," Energy, Elsevier, vol. 263(PD).
    10. Xiaoping Li & Shudong Liu & Ji Li & Xiaohua Tan & Yilong Li & Feng Wu, 2020. "Apparent Permeability Model for Gas Transport in Multiscale Shale Matrix Coupling Multiple Mechanisms," Energies, MDPI, vol. 13(23), pages 1-24, November.
    11. Menglei Li & Chaomo Zhang, 2023. "An Improved Method to Accurately Estimate TOC of Shale Reservoirs and Coal-Measures," Energies, MDPI, vol. 16(6), pages 1-23, March.
    12. Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).
    13. Yoon, Byungun & Park, Inchae & Coh, Byoung-youl, 2014. "Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 287-303.
    14. Wang, Anlun & Chen, Yinghe & Wei, Jianguang & Li, Jiangtao & Zhou, Xiaofeng, 2023. "Experimental study on the mechanism of five point pattern refracturing for vertical & horizontal wells in low permeability and tight oil reservoirs," Energy, Elsevier, vol. 272(C).
    15. Zhou, Guangzhao & Duan, Xianggang & Chang, Jin & Bo, Yu & Huang, Yuhan, 2023. "Investigation of CH4/CO2 competitive adsorption-desorption mechanisms for enhanced shale gas production and carbon sequestration using nuclear magnetic resonance," Energy, Elsevier, vol. 278(PB).
    16. Shan, Baochao & Wang, Runxi & Guo, Zhaoli & Wang, Peng, 2021. "Contribution quantification of nanoscale gas transport in shale based on strongly inhomogeneous kinetic model," Energy, Elsevier, vol. 228(C).
    17. Li, Jinbu & Wang, Min & Jiang, Chunqing & Lu, Shuangfang & Li, Zheng, 2022. "Sorption model of lacustrine shale oil: Insights from the contribution of organic matter and clay minerals," Energy, Elsevier, vol. 260(C).
    18. Mandzhieva, Radmila & Subhankulova, Rimma, 2021. "Practical aspects of absolute permeability finding for the lattice Boltzmann method and pore network modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    19. Lijie Feng & Yuxiang Niu & Zhenfeng Liu & Jinfeng Wang & Ke Zhang, 2019. "Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    20. Huang, Danchao & Li, Xin & Bai, Yang & Xie, Gang & Chen, Shilin & Chen, Hong & Zhang, Jian & Liang, Renxin & Luo, Pingya, 2023. "Structure-activity relationships for hydration inhibition and environmental protection with modified branched polyethyleneimine: Experiments and simulations," Energy, Elsevier, vol. 284(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223001536. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.