Research On The Distribution Of Coal Seam Gas And Gas Prediction In Heilong Mine

In this paper, combined with the actual situation of Lu’an Group PuXian BlackDragon mine, mine through qualitative analysis of the impact of the mine derived mineableseam2, a major factor on the9th seam gas content of the coal seam depth, overlying thebase rock thickness, coal seam thickness and inclination. Through quantitative analysis, themain factors affecting the Black Dragon mine coal seam gas content using SPSS softwarefor multiple regression analysis, and ultimately come to mine coal seam depth is the mostimportant factor affecting gas content. SPSS software reuse them a regression analysis tothe depth of the coal seam as a predictor to predict the gas content of the seam as thedependent variable regression to build a mathematical model created by solving theregression equation, derived on the2nd, the9th forecast coal seam gas content values. Theresults predicted and measured by the established model obtained werecompared.According to the forecast results obtained, the use of software to map out the2nd surfer,9coal seam gas content and depth of the contour.By the law of the geological structure and distribution of the Black Dragon mine gasanalysis, Separately for each source of gas emission prediction of gas emission, in whichthe mine mining and tunneling layer face surface and the gas has been tsetse EmissionZone predict，the impact of mining coal seam gas Emission factors determine BlackDragon Mine Gas Emission projections reuse of source projections. According to theresults of the analysis to predict, No.2mine mining layer,9coal seam mining face gasemission layer of gas emission are mainly adjacent layers of gas emission supplemented;2,9Seam Gas emission of gas emission are the main face, Nuggets and Gob supplemented;2,9are producing coal mine gas emission gas emission based mining has tsetse gas emissionis auxiliary.Through the seam gas content forecast, combined with the measured data minesampling points, linear regression analysis, On the seam of coal and gas outburst forecastarea, enabling the production of more secure in the mining process. According to the resulting regression equation to predict the relationship untapped seam between depth andpressure, through established relationships and the need for relevant results mined part ofthe area of coal and gas outburst prediction, make mine to be more secure the production.When the mine for coal and gas outburst hazard prediction method uses a single indicatormethod of coal and gas.Individual indicators by coal and gas underground mining method to get theseams.The linear relationship between gas pressure and the depth of the coal seam;individual indicators use of coal and gas law, drawn up in the2nd seam depth area greaterthan698m to highlight the dangers of the area; the9th seam depth in the area is greaterthan631m to highlight the risk zone.