Influencing Factors Analysis of Coal Seam Gas Content Based on GIS

In order to make up for the deficiencies of commonly used association analysis methods used in the analysis of spatially distributed system factors, not intuitive and small sample easy to produce contingence, we optimize system correlation analysis method through the use of geographic information system (GIS) platform, and extend the correlation analysis from the two-dimensional point, line to three dimensional space, which make up for the deficiency of linear regression and correlation analysis of gray correlation and other commonly used methods. We carry on applied research by taking coal seam gas content as the system characteristic factors and the seam depth, seam thickness and mudstone thickness within 20 meters of coal seam roof and floor as the associated factors, the results showed that correlation relationship among factors associated with coal seam gas content is thickness of mudstone within 20 meters of coal seam roof and floor, the depth of coal seam, the thickness of coal seam; correlation degree is 0.881, 0.868, 0.697, respectively, and the results are intuitive and stability.