Abstract
Knowledge regarding microseismic characteristics associated with longwall coal mining is crucial in evaluating the potential for underground mining hazards. Although microseismicity is induced by mining activities, it still remains uncertain as to what extent mining activities influence the spatial, temporal, and magnitude characteristics of microseismicity. To establish a thorough understanding of the relationship between microseismic characteristics and mining activities, a 27-month long microseismic monitoring campaign was conducted around a highly stressed coal zone and eight producing longwall panels at Coal Mine Velenje in Slovenia. Each microseismic event was classified to be associated with the producing longwall panel that triggered it, and the microseismic response to multi-panel longwall top coal caving face advance was analysed. Monitoring data have shown that locations of microseismic events coincided with stress concentrated regions. It was established that both seismic count and energy-intensive regions associated with coal mining in different panels are spatially connected, but they do not fully overlap with mined-out or stress concentrated areas. In addition, microseismic event counts frequency was found to be well correlated with mining intensity, while seismic energy magnitude and spatial distribution are poorly correlated with the same. Therefore, microseismic characteristics could not be explained solely by the mining-induced stress transfer and mining intensity, but are believed to be dominated by pre-existing natural fractures throughout the coal seam. Analyses of these observations helped the development of a conceptual seismic-generation model, which provides new insights into the causes of microseismicity in coal mining.
Highlights
Underground coal mining is faced with adverse stress and gas emission environments, and hazards such as rock bursts and coal and gas outbursts have long been a serious risk to Katowice 40‐166, Poland the safety of personnel and equipment
The microseismic intensity and energy range vary from panel to panel even in the same mining region, but both seismic count and energy intensive areas associated with coal mining in different panels are spatially connected
Microseismic event counts frequency is moderately correlated with mining intensity, while seismic energy magnitude and spatial distribution are poorly related with mining intensity
Summary
Underground coal mining is faced with adverse stress and gas emission environments, and hazards such as rock bursts and coal and gas outbursts have long been a serious risk to. The microseismic events recorded at Coal Mine Velenje correlated spatially with the face advance (Si et al 2015). Underground mining hazards which are triggered by exploitation-induced stress perturbations display spatial and temporal correlation with microseismic events. Previous research by the authors (Cao et al 2018, 2019) developed a microseismicity modelling methodology based upon the premise that microseismicity is triggered due to the interplay of mining-induced stress and the pre-existing fracture field throughout the coal seam and surrounding rock masses during longwall mining. Based on the improved understanding of the fracture-slip seismic-generation mechanism, a conceptual model was developed to interpret field microseismic observations and provide new insights into the causes of microseismicity in coal mining
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