Research on early warning of coal and gas outburst microseismic-gas interactive response

doi:10.16265/j.cnki.issn1003-3033.2021.04.017

Abstract

Abstract: In order to solve problem of high false alarm rate of coal and gas outburst real-time early warning technology in the field, main controlling factors and precursor characteristics of coal and gas outburst in driving face of a mine in Guizhou Province were analyzed, and real-time early warning mechanism of microseismic-gas interactive response was studied. An intelligent prediction model for coal and gas outburst based on data mining was established, principles for dividing risk levels of coal and gas outbursts were defined, a real-time warning system for coal and gas outburst hazard was established. Coal and gas outburst risk grade was predicted by using measured data of heading face.The results show that prediction accuracy of intelligent prediction model is relatively high, and prediction results are in good agreement with drilling cutting-gas desorption index K₁ value and gas pressure value P. Warning level of established warning system is basically consistent with actual coal and gas outburst risk on working face.

Key words: coal and gas outburst, microseismic-gas interaction response, intelligent prediction model, early warning system, real-time warning indicators

CLC Number:

X936

LONG Nengzeng,YUAN Mei,WANG Guanliang,WANG Qinghui,XU Shiqing,LI Xinling. Research on early warning of coal and gas outburst microseismic-gas interactive response[J]. China Safety Science Journal, 2021, 31(4): 125-132.

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