Research on Microseismic Early Warning for Outburst Prevention in the Heading Face of Liyazhuang Coal Mine

Abstract

With the increase in mining depth, the threat of coal-rock dynamic disasters in the heading faces of high-gas coal mines is becoming increasingly severe, and their manifestation mechanisms are tending to become more complex, making it difficult for traditional single prediction methods to provide effective early warnings. Taking the 2-228 high-gas isolated island heading face of Liyazhuang Coal Mine under Huozhou Coal Electricity Group as the engineering background, this study conducted research on dynamic disaster early warning and control based on microseismic monitoring technology. By systematically analyzing the mine's geological structure environment, in-situ stress field distribution patterns, and coal seam gas parameters, an optimized layout scheme for the microseismic monitoring network was established. The evolution patterns of microseismic signals induced by mining activities in terms of time, space, and energy were thoroughly studied, and the spectral characteristics of microseismic events with different energy levels and fracture types (such as fault activation and roof fracture) were identified. Combining multi-source information from the drilling cuttings method and rock pressure observation, a composite early warning indicator system centered on microseismic activity frequency, energy release rate, and the correlation between "dynamic-static" loads was constructed. Field practice has demonstrated that this early warning system can effectively identify high-risk areas, significantly reducing the risk and intensity of dynamic disasters in heading faces, providing theoretical basis and technical reference for safe mining in mines under similar conditions.