IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1145-d1347648.html
   My bibliography  Save this article

Characterization of the Macroscopic Impact of Diverse Microscale Transport Mechanisms of Gas in Micro-Nano Pores and Fractures

Author

Listed:
  • Yintao Dong

    (CNOOC Research Institute, Beijing 100028, China)

  • Laiming Song

    (CNOOC Research Institute, Beijing 100028, China)

  • Fengpeng Lai

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Qianhui Zhao

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Chuan Lu

    (CNOOC Research Institute, Beijing 100028, China)

  • Guanzhong Chen

    (CNOOC Research Institute, Beijing 100028, China)

  • Qinwan Chong

    (CNOOC Research Institute, Beijing 100028, China)

  • Shuo Yang

    (CNOOC Research Institute, Beijing 100028, China)

  • Junjie Wang

    (CNOOC Research Institute, Beijing 100028, China)

Abstract

The objective of this study is to construct a refined microscopic transport model that elucidates the transport mechanisms of gas flow within micro-nano pores and fractures. The collective impact of various microscopic transport mechanisms was explained through the apparent permeability model, specifically related to gases such as methane and carbon dioxide, within the shale matrix. The apparent permeability models, taking into account microscopic transport mechanisms such as slippage flow, Knudsen diffusion, transition flow, and surface diffusion, were established individually. Subsequently, the influencing factors on apparent permeability were analyzed. The results demonstrate that the apparent permeability of the shale reservoir matrix is significantly influenced by pore pressure, temperature, pore size, and total organic carbon (TOC). As pressure decreases, the apparent permeability of Knudsen diffusion and surface diffusion increases, while the apparent permeability of slippage flow decreases. In addition, the apparent permeability of the reservoir matrix initially decreases and then increases. With increasing temperature, the apparent permeability of slippage flow, Knudsen diffusion, and surface diffusion all increase, as does the apparent permeability of the reservoir matrix. As pore size increases, the apparent permeability of surface diffusion and Knudsen diffusion decreases, while the apparent permeability of slippage flow and the reservoir matrix increases. Furthermore, an increase in TOC leads to no change in the apparent permeability of slippage flow and Knudsen diffusion, but an increase in the apparent permeability of surface diffusion and the reservoir matrix. The model presented in this paper enhances the multi-scale characterization of gas microflow mechanisms in shale and establishes the macroscopic application of these micro-mechanisms. Moreover, this study provides a theoretical foundation for the implementation of carbon capture, utilization, and storage (CCUS) in shale gas production.

Suggested Citation

  • Yintao Dong & Laiming Song & Fengpeng Lai & Qianhui Zhao & Chuan Lu & Guanzhong Chen & Qinwan Chong & Shuo Yang & Junjie Wang, 2024. "Characterization of the Macroscopic Impact of Diverse Microscale Transport Mechanisms of Gas in Micro-Nano Pores and Fractures," Energies, MDPI, vol. 17(5), pages 1-23, February.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1145-:d:1347648
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/5/1145/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/5/1145/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    Full references (including those not matched with items on IDEAS)

    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. Guo, Dan & Cao, Xuewen & Ding, Gaoya & Zhang, Pan & Liu, Yang & Bian, Jiang, 2022. "Crystallization and nucleation mechanism of heavy hydrocarbons in natural gas," Energy, Elsevier, vol. 239(PB).
    2. Gou, Qiyang & Xu, Shang & Hao, Fang & Yang, Feng & Shu, Zhiguo & Liu, Rui, 2021. "The effect of tectonic deformation and preservation condition on the shale pore structure using adsorption-based textural quantification and 3D image observation," Energy, Elsevier, vol. 219(C).
    3. Golsanami, Naser & Jayasuriya, Madusanka N. & Yan, Weichao & Fernando, Shanilka G. & Liu, Xuefeng & Cui, Likai & Zhang, Xuepeng & Yasin, Qamar & Dong, Huaimin & Dong, Xu, 2022. "Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images," Energy, Elsevier, vol. 240(C).
    4. Wu, Jianguo & Luo, Chao & Zhong, Kesu & Li, Yi & Li, Guoliang & Du, Zhongming & Yang, Jijin, 2023. "Innovative characterization of organic nanopores in marine shale by the integration of HIM and SEM," Energy, Elsevier, vol. 282(C).
    5. Yan, Zechen & Li, Xiaofang & Zhu, Xu & Wang, Ping & Yu, Shifan & Li, Haonan & Wei, Kangxing & Li, Yan & Xue, Qingzhong, 2023. "MD-CFD simulation on the miscible displacement process of hydrocarbon gas flooding under deep reservoir conditions," Energy, Elsevier, vol. 263(PA).
    6. Yan, Min & Zhou, Ming & Li, Shugang & Lin, Haifei & Zhang, Kunyin & Zhang, Binbin & Shu, Chi-Min, 2021. "Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method," Energy, Elsevier, vol. 230(C).
    7. 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).
    8. 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).
    9. Gao, Zheng & Li, Bobo & Li, Jianhua & Jia, Lidan & Wang, Zhonghui, 2023. "Adsorption characteristics and thermodynamic analysis of shale in northern Guizhou, China: Measurement, modeling and prediction," Energy, Elsevier, vol. 262(PA).
    10. Cao, Gaohui & Jiang, Wenbin & Lin, Mian & Ji, Lili & Xu, Zhipeng & Zheng, Siping & Hao, Fang, 2021. "Mortar dynamic coupled model for calculating interface gas exchange between organic and inorganic matters of shale," Energy, Elsevier, vol. 236(C).
    11. Xu, HengYu & Yu, Hao & Fan, JingCun & Xia, Jun & Liu, He & Wu, HengAn, 2022. "Formation mechanism and structural characteristic of pore-networks in shale kerogen during in-situ conversion process," Energy, Elsevier, vol. 242(C).
    12. Wu, Jian & Shen, Luming & Huang, Pengyu & Gan, Yixiang, 2023. "Selective adsorption and transport of CO2–CH4 mixture under nano-confinement," Energy, Elsevier, vol. 273(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:gam:jeners:v:17:y:2024:i:5:p:1145-:d:1347648. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.