煤矿底板潜在突水危险区微震识别研究

Identification of potential water inrush areas in coal floor by using microseismic monitoring technique

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。

To improve the explicitness of microseismic data analysis and to identify the potential water inrush areas in coal floor easily, the space-time distribution of microseismic events in a coal mine is analyzed through the cluster analysis. Considering mining activities, the accumulated areas with microseismic events are distinguished effectively. Through theoretical calculation and numerical simulation, the broken heights of roof and floor under the normal mining influence are obtained, and the microseismic event results are compared. The microseismic events are divided into high abnormal area, normal impact area and low abnormal area along the vertical direction. Based on the engineering geological condition and water inflow data, the low abnormal area is regarded as the potential water inrush area in coal floor. By using the research results and microseismic monitoring technology, a general model is established to study the potential water inrush areas in coal floor.