【摘要】 为更好表征贵州低透无烟煤孔裂隙整体复杂程度并探究其分形维数的主要影响因素，以贵州矿区4个低透无烟煤层煤样作为研究对象，基于孔隙分类方法，结合低温氮吸附试验和压汞试验结果分类并计算其吸附扩散孔分形维数D_k、渗流孔分形维数D_s及裂隙孔分形维数D_l,以渗流孔和裂隙孔体积占比作为权值对D_s,D_l进行加权计算综合分形维数D_c,把分形维数D_k,D_c作为参考序列，将固定碳含量、灰分、挥发分、平均孔径、总孔比表面积及总孔体积作为比较序列分别进行灰色关联分析.结果表明固定碳对综合分形维数D_c影响最大，且与迂曲度及煤层透气性系数呈正相关，能更好地反映贵州低透无烟煤整体复杂程度及渗透性；平均孔径对吸附扩散孔分形维数D_k影响最大，且D_k与原始瓦斯含量呈正相关，反映贵州低透无烟煤的瓦斯吸附能力.更多还原

【Abstract】 In order to better characterize the overall complexity of pores and fissures of low permeability anthracite in Guizhou Province and explore the main influencing factors of its fractal dimension, four low permeability anthracite coal samples in Guizhou mining areas are taken as the research object. Based on the pore classification method, combined with the results of low-temperature nitrogen adsorption experiment and mercury injection experiment, the fractal dimensions of adsorption diffusion pore D_k, seepage pore D_s and fracture pore D_l are classified and calculated. The comprehensive fractal dimension D_c is calculated by weighting D_s and D_l with the proportion of the volume of seepage holes and fracture holes as the weight value. The fractal dimensions D_k and D_c are taken as reference sequences, and the fixed carbon content, ash content, volatile matter, average pore diameter, total pore specific surface area and total pore volume are taken as comparison sequences for grey correlation analysis. Results show that fixed carbon has the greatest influence on the comprehensive fractal dimension D_c, and it is positively correlated with tortuosity and coal seam permeability coefficient, which can better reflect the overall complexity and permeability of low permeability anthracite in Guizhou Province. The average pore size has the greatest influence on the fractal dimension D_k of adsorption diffusion pore, and D_k is positively correlated with the original gas content, reflecting the gas adsorption capacity of low permeability anthracite.更多还原