1. State Key Laboratory Cultivation Base for Gas Geology and Gas Control,Henan Polytechnic University,Jiaozuo　 454000,China; 2. College of Safety Science and Engineering,Henan Polytechnic University,Jiaozuo　 454000,China; 3. Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region,Jiaozuo　 454000,China

为揭示煤与瓦斯突出的前兆特征,进行了4次大型突出模拟试验,并用微震设备实时连续监测,深入分析突出激发阶段的微震响应信号,获得突出前兆微震事件分布、双谱估计及其时间演化等特征。结果表明:激发阶段微震信号主要集中在第6频带,其频响范围为1 250~1 500 Hz;前兆微震事件主要分布在活跃期,具有间歇发生的特点;双谱估计值数量级包括10~3,10~4,10~5,10~6和10~7m V~3,呈正态分布,但控制其发展趋势的是数量级为10~7m V~3的前兆微震事件;临突前有一段调整期,表现为低能量事件密集发生直至平静期出现,随即发生突出。调整期与突出强度、持续时间正相关,是预警煤与瓦斯突出的重要信息。

To reveal the precursory characteristics of the coal and gas outburst in the trigger period,four large model tests were completed and deep analysis of data continuously monitored by microseismic system was carried out. The study concentrates on the events distribution,bispectrum estimation and their evolution over time. The research results are shown as follows. Microseimic signals related with outburst precursory events concentrate on the 6th frequency band whose frequencies are from 1 250 to 1 500 Hz. They mainly distribute on the active period and occur at intervals. Five orders of energy magnitude estimated by bispectrum include 103 ,104 ,105 ,106 and 107 mV3 with obviously normal dis- tribution of the related events. The microseimics of outburst precursory events which really control the developing trends in the trigger period are the events with 107 mV3 of energy magnitude order. Their always exists an adjusting pe- riod before coal and gas outburst. They are characterized as intensive events with low energy and a short time of inac- tive period without any microseismic events. The longer the adjusting period,the longer the outburst lasts and the high- er the outburst intensity is. The intensified precursory events with low energy and inactive period are the important in- formation to early warn the coal and gas outburst.

国家自然科学基金资助项目(51374094；40872191)；

Lei Wenjie,Li Zejun. Bispectrum and distribution characteristics of microseismic responses from outburst simulation test precursory events [J]. Journal of China Coal Society,2017,42(5):1193-1200.