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为提高微震数据后期分析的直观性,便于对回采过程中底板潜在突水危险区的分析与识别,利用聚类分析法对某煤矿微震事件的时空分布进行了分析,结合现场开采活动,有效区分了微震事件聚集区。通过理论计算与数值模拟获取正常采动影响下顶底板破裂高度,对比研究微震事件聚类分析结果,将该矿微震事件分布在垂直方向上划分为高位异常区、正常影响区和低位异常区。结合现场工程地质概况与涌水量资料,确定低位异常区即为底板潜在突水危险区。利用研究结果,最终构建了底板潜在突水危险区微震识别的一般模式。
In order to improve the visualization of microseismic data post-analysis and facilitate the analysis and identification of the potential water inrush danger zone during the mining process, the spatio-temporal distribution of microseismic events in a coal mine was analyzed by cluster analysis. Combining with the on-site mining activities, The microseismic event gathering area. Through the theoretical calculation and numerical simulation, the height of the roof and floor under normal mining is obtained. The results of microseismic event clustering analysis are compared and the microseismic event distribution in the vertical direction is divided into high anomalous zone, normal impact zone and low anomalous zone. Combined with the on-site engineering geology and gushing data, the low anomalous zone is identified as the potential water inrush danger zone of the floor. Based on the results of the study, a general mode of microseismic identification of the potential water inrush danger zone is finally constructed.