Study on gas migration characteristics in a three-dimensional coal seam fracture model
摘要
Fracture roughness in coal seams significantly influences gas migration characteristics, and accurately simulating gas flow in rough fractures is crucial for coal mine safety. This study proposes the PerlinN-GF-RA algorithm to generate random roughness fractures and provide a deterministic quantitative description of roughness using the response surface regression method. A 3D high-precision rough fracture model is constructed, and simulation software is employed to analyze gas migration under varying roughness and initial velocity conditions. Key parameters such as pressure distribution, velocity variation, Reynolds number, gas emission, and energy dissipation are examined. The results show that: as roughness increases, pressure distribution becomes more uneven, with the upper limit of pressure values rising. Gas velocity fluctuations increase, leading to reduced flow stability. The fluctuation range of the Reynolds number increases, indicating enhanced flow instability. Gas emission shows a declining trend and viscous dissipation increases significantly with enhanced volatility. These findings reveal the profound impact of fracture roughness on gas migration characteristics, offering important theoretical insights and practical guidance for predicting gas flow behavior, assessing gas outburst risks and developing gas extraction strategies. This study has significant implications for coal mine gas disaster prevention and the management of underground gas resources.