Study on laws of gas occurrence and emission of deep coal seam in Yaoqiao Coal Mine

摘要

To grasp the gas occurrence and emission laws of Yaoqiao deep coal mining area (West ten mining area and the second central mining area) in No.7 Coal Seam, the neural network is used to analyze the relationship and degree of influence factors between gas occurrence and gas content. We construct a prediction model of gas content to predict the gas content of the corresponding position and draw contour map of the gas content. We combine gas geological data of Yaoqiao coal mine and summarize the law of gas occurrence and emission to guide the work of gas prevention and control and enhance the prevention level of gas disaster.