Multi-field coupled mathematical modeling and numerical simulation technique of gas transport in deep coal seams

Authors

  • Qiuyu Wang State Key Laboratory of Intelligent Construction and Health Operation and Maintenance of Deep Underground Engineering, ChinaUniversity of Mining and Technology, Xuzhou 221116, P. R. China
  • Ming Ji* School of Mines, China University of Mining and Technology, Xuzhou 221116, P. R. China (Email: jiming@cumt.edu.cn)
  • Guannan Liu School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, P. R. China
  • Shudi Fan State Key Laboratory of Intelligent Construction and Health Operation and Maintenance of Deep Underground Engineering, ChinaUniversity of Mining and Technology, Xuzhou 221116, P. R. China

Keywords:

Coalbed gas, deep coal seams, multi-field, fractal theory, discrete fracture network

Abstract

Coalbed gas production contributes to energy diversification and effectively mitigates the risk of mine gas outbursts. However, the complexity and nonlinear characteristics of multifield coupled gas migration in deep coal seams pose significant challenges that traditional prediction and control methods struggle to address. This paper explores the effects of coupled multi-physics fields on gas migration and reviews a numerical simulation method that integrates fractal theory with discrete fracture network modeling, aiming to overcome the limitations of conventional models in capturing the interactions among seepage, heat transfer, stress distribution, and gas adsorption/desorption. The study highlights the interactions between fractures and pores, as well as the coupling effects between fluids f low, heat transfer, and solid mechanics. It further presents a more accurate prediction method to enhance the simulation accuracy of gas migration in deep coal seams.

Document Type: Perspective

Cited as: Wang, Q., Ji, M., Liu, G., Fan, S. Multi-field coupled mathematical modeling and numerical simulation technique of gas transport in deep coal seams. Advances in Geo-Energy Research, 2025, 15(1): 87-90. https://doi.org/10.46690/ager.2025.01.09

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Published

2024-12-25

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