基于裂隙网络图像的煤层气流动特性研究

    Study on coalbed methane flow characteristics based on fracture network image

    • 摘要: 煤体内发育的自然裂隙网络是气体运移的主要通道,裂隙网络的几何特征对煤层气流动特性的影响具有重要影响;采用Monte Carlo法生成随机裂隙网络图像,然后将二值化后的裂隙网络图像导入COMSOL中,通过图像函数功能将其转化为计算域;建立了煤层瓦斯流动的数值模型,分析了不同裂隙结构对煤层渗透率的影响。模拟结果表明:煤层渗透率随着裂隙长度、密度以及开度的增加而增大,随裂隙倾角的减小而增大;相比于裂隙长度和密度,裂隙开度对渗透率的影响最为显著。

       

      Abstract: The natural fracture network developed in coal body is the main channel for gas migration. It is of great significance to study the influence of the geometric characteristics of fracture network on CBM flow characteristics. In this paper, the random fracture network image was generated by Monte Carlo method, and then the binarized fracture network image was imported into COMSOL. The image function was used to convert the image into calculation domain, and the numerical model of coal seam gas flow was established to analyze the influence of different fracture structures on coal seam permeability. The results show that the permeability of coal seam increases with the increase of fracture length, density and opening, and with the decrease of fracture inclination. Compared with fracture length and density, fracture aperture has the most significant influence on permeability.

       

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