In the mining of the lower coal group, coal mines often faced the problem of safe mining on the near-Ordovician limestone confined aquifer under the condition of thin aquifuge. The weak area of the floor relative aquifuge was easy to induce water outburst accidents. Therefore, it was of great significance to carry out the prediction of the abnormal area of floor water outburst during the mining process of the working face. In this study, the microseismic monitoring technology was used to delineate the abnormal area of water outburst from the floor of the working face. Taking No.1295 Face of Xingtai Gequan Mine as an example, a microseism monitoring system suitable for the hydrogeological conditions of the mining area was established. The temporal and spatial variation of microseism activity and the depth of floor disturbance in No.1295 Face were analyzed. Combined with the analysis results, the microseism data in the high risk stage of water outburst were extracted, and the K-means clustering method was proposed. The data in this period were divided into three categories, and the 2D-CE method was introduced to standardize the plane position of the three types of microseism data. The depth of microseism events in each confidence ellipse and the location of forewarning aquifers were analyzed. And floor water outburst anomaly area was predicted. The results showed that it was feasible to use K-means clustering combined with 2D-CE method to predict the abnormal area of floor water outburst, which could predict the area of water outburst risk in the process of coal seam mining in advance. The results provided a new method for data processing and analysis in microseism monitoring of thin aquifuge mining under pressure, which had certain reference value. At the same time, it promoted the application of microseism monitoring technology in mine water disaster prevention and control, and provided the basis for coal mine safety production.
杨惠惠1,2，赵立松1，杨 波1,2，李 嘉1,2. 薄隔水层带压开采微震底板突水异常区预测[J]. 煤炭与化工, 2026, 49(8): 1-7，51.
Yang Huihui1, 2, Zhao Lisong1, Yang Bo1, 2，Li Jia1, 2. Prediction of floor water outburst anomaly area by microseism in mining under pressure with thin aquifuge. CCI, 2026, 49(8): 1-7，51.
