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Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method

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  • Yan, Min
  • Zhou, Ming
  • Li, Shugang
  • Lin, Haifei
  • Zhang, Kunyin
  • Zhang, Binbin
  • Shu, Chi-Min

Abstract

The micropore structure of coal has a significant impact on gas seepage in a coal reservoir. In this study, the micropore structure of coal was reconstructed and then quantitatively analysed using independently developed image analysis software. The lattice Boltzmann method (LBM) at representative elementary volume (REV) scale was used on the reconstructed pore structure to simulate gas seepage and obtain the gas velocity distribution. The effects of porosity and pore structure on gas seepage were studied. The results indicated that gas seepage velocity and apparent permeability increase with porosity. The average gas seepage velocity in the pore structure with >25% porosity was more than two-fold that in the pore structure with <25% porosity, and apparent permeability increased by at least three orders of magnitude. The gas seepage velocity in open-pore areas was higher than that in closed-pore areas and highest in through holes, followed by semi-through holes and closed pores. The gas seepage velocity was higher in long and narrow pore structures and reached a maximum along the centre line of the pore throat. The non-main flow areas of gas appeared in through holes that had noticeable shrinkage, expansion, and high tortuosity, causing gas accumulation in the coal body.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221010215
    DOI: 10.1016/j.energy.2021.120773
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    References listed on IDEAS

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    1. Jin, Yi & Zheng, Junling & Liu, Xianhe & Pan, Jienan & Liu, Shunxi, 2019. "Control mechanisms of self-affine, rough cleat networks on flow dynamics in coal reservoir," Energy, Elsevier, vol. 189(C).
    2. Yue Dong & Xuesong Lu & Junjia Fan & Qingong Zhuo, 2018. "Fracture Characteristics and Their Influence on Gas Seepage in Tight Gas Reservoirs in the Kelasu Thrust Belt (Kuqa Depression, NW China)," Energies, MDPI, vol. 11(10), pages 1-22, October.
    3. Yang, Lei & Ai, Li & Xue, Kaihua & Ling, Zheng & Li, Yanghui, 2018. "Analyzing the effects of inhomogeneity on the permeability of porous media containing methane hydrates through pore network models combined with CT observation," Energy, Elsevier, vol. 163(C), pages 27-37.
    4. 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).
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    7. Pang, Mingkun & Zhang, Tianjun & Ji, Xiang & Wu, Jinyu & Song, Shuang, 2022. "Measurement of the coefficient of seepage characteristics in pore-crushed coal bodies around gas extraction boreholes," Energy, Elsevier, vol. 254(PA).

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