Analysis of main controlling factors and prediction of gas content in No.16 coal seam of Qipanjing Coal Mine(eastern area)
In order to achieve gas classification management in mines and solve the problem of insufficient measured gas content data in coal mines,the grey correlation analysis method was used to analyze and determine the main controlling factors affecting gas content in the No.16 coal seam of Qipanjing Coal Mine(eastern area).A multi-source gas data analysis was used to construct an inverse gas con-tent model,and finally,gas content prediction was carried out.The results indicate that there are differences in the main controlling fac-tors affecting gas occurrence among different geological units in the eastern coal seam of Qipanjing Coal Mine(eastern area).Based on grey correlation analysis method,it can be concluded that elevation is the most important influencing factor for geological unit.By using the gas emission from the working face and the geological exploration gas content to invert the gas content of the coal seam,a gas com-parison inversion model was established,and the gas content was predicted for the division of geological units.The gas content of the No.16 coal seam in Qipanjing Coal Mine(eastern area)generally shows the characteristic of"more in the north than in the south and more in the east than in the west",and the prediction model can accurately reflect the gas content of the coal seam.
geological unitgas content predictionmain controlling factorsinversion model
NETL
NSTL
万方数据
