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Comparative analysis of permeability rebound and recovery of tectonic and intact coal: Implications for coalbed methane recovery in tectonic coal reservoirs

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Listed:
  • Wei, Jiaqi
  • Su, Erlei
  • Xu, Guangwei
  • Yang, Yuqiang
  • Han, Shuran
  • Chen, Xiangjun
  • Chen, Haidong
  • An, Fenghua

Abstract

The permeability rebound and recovery of coal reservoirs is one of the key factors affecting the efficient recovery of coalbed methane (CBM). Most studies focus on the permeability rebound and recovery of intact coal reservoirs. Conversely, the permeability rebound characteristics of tectonic coal have only been rarely investigated. In this paper, an improved fully coupled mathematical model for methane transport of tectonic coal and intact coal seam was established. Then, the phenomenon of permeability rebound and recovery was analyzed theoretically, and the permeability rebound time, rebound value and recovery time were proposed to compare the difference in permeability evolution. In addition, the permeability rebound characteristics of tectonic and intact coal were evaluated for different geological parameters of coal reservoirs. The results indicate that the rebound time and recovery time of both intact and tectonic coal increase with the increase of initial gas pressure. As the initial permeability increases, the permeability rebound time of intact and tectonic coal show a decreasing trend. The permeability rebound time of intact coal decreases with increasing initial diffusion coefficient, while that of tectonic coal shows the opposite trend. Furthermore, the change in permeability recovery time for tectonic coal is 6.59 times larger than for intact coal, indicating that the effect of permeability rebound phenomenon is more significant during gas extraction in tectonic coal reservoirs. Finally, a conceptual model was proposed to explain the differential mechanism of permeability rebound between tectonic and intact coal, and its implications for CBM recovery in tectonic coal reservoirs was discussed. Therefore, the results presented in this paper can provide a theoretical basis for the efficient development of CBM in tectonic coal reservoirs.

Suggested Citation

  • Wei, Jiaqi & Su, Erlei & Xu, Guangwei & Yang, Yuqiang & Han, Shuran & Chen, Xiangjun & Chen, Haidong & An, Fenghua, 2024. "Comparative analysis of permeability rebound and recovery of tectonic and intact coal: Implications for coalbed methane recovery in tectonic coal reservoirs," Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224014750
    DOI: 10.1016/j.energy.2024.131702
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    References listed on IDEAS

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    1. Wang, Kai & Wang, Yanhai & Xu, Chao & Guo, Haijun & Xu, Zhiyuan & Liu, Yifu & Dong, Huzi & Ju, Yang, 2023. "Modeling of multi-field gas desorption-diffusion in coal: A new insight into the bidisperse model," Energy, Elsevier, vol. 267(C).
    2. Su, Erlei & Liang, Yunpei & Chen, Xiangjun & Wang, Zhaofeng & Ni, Xiaoming & Zou, Quanle & Chen, Haidong & Wei, Jiaqi, 2023. "Relationship between pore structure and mechanical properties of bituminous coal under sub-critical and super-critical CO2 treatment," Energy, Elsevier, vol. 280(C).
    3. David McCollum & Nico Bauer & Katherine Calvin & Alban Kitous & Keywan Riahi, 2014. "Fossil resource and energy security dynamics in conventional and carbon-constrained worlds," Climatic Change, Springer, vol. 123(3), pages 413-426, April.
    4. Sun, Fengrui & Liu, Dameng & Cai, Yidong & Qiu, Yongkai, 2023. "A micro-macro coupled permeability model for gas transport in coalbed methane reservoirs," Energy, Elsevier, vol. 284(C).
    5. Erlei Su & Yunpei Liang & Lei Li & Quanle Zou & Fanfan Niu, 2018. "Laboratory Study on Changes in the Pore Structures and Gas Desorption Properties of Intact and Tectonic Coals after Supercritical CO 2 Treatment: Implications for Coalbed Methane Recovery," Energies, MDPI, vol. 11(12), pages 1-13, December.
    6. Du, Shuyi & Wang, Jiulong & Wang, Meizhu & Yang, Jiaosheng & Zhang, Cong & Zhao, Yang & Song, Hongqing, 2023. "A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns," Energy, Elsevier, vol. 263(PE).
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