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Volume 36 Issue 9
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CHENG Ai-ping, GAO Yong-tao, LIANG Xing-wang, LIU Chao, WU Qing-liang, ZHU Quan-jie. Identification of potential water inrush areas in coal floor by using microseismic monitoring technique[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(9): 1727-1732. DOI: 10.11779/CJGE201409021
Citation: CHENG Ai-ping, GAO Yong-tao, LIANG Xing-wang, LIU Chao, WU Qing-liang, ZHU Quan-jie. Identification of potential water inrush areas in coal floor by using microseismic monitoring technique[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(9): 1727-1732. DOI: 10.11779/CJGE201409021
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Identification of potential water inrush areas in coal floor by using microseismic monitoring technique

  • 1. University of Science and Technology Beijing, School of Civil and Environment Engineering, Beijing 100083, China;
    2. First Underground Mine, China National Coal Pingshuo Coal Mining Co., Ltd., Shuozhou 036006, China

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  • Received Date: November 03, 2013
  • Published Date: September 21, 2014
    Graphical Abstract
    • Abstract
  • 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.
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    • References (16)
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