Microseism monitoring and forewarning technology for mine water disaster: method, application and prospect
Zhao Lisong1,2,3，Wu Bin1,2,3，Yang Bo1,2,3， Li Yubao1,2,3，Lu Gang1,2,3，Liu Ziqiang1,2,3
1. Key Laboratory of Mine Water Disaster Detection and Prevention and Control , National Mine Safety Administration ,Xingtai 054000,China; 2. Hebei Key Laboratory of Mine Microseismicity, Xingtai 054000, China； 3. Hebei Coal Research Institute Co., Ltd.，Xingtai 054000， China
Mine water disaster is a major disaster that restricts the safe and efficient mining of coal resources. As the core means to characterize the dynamic response of rock mass fracture and water conducting channel development, microseism monitoring technology has become the key support for the prevention and control of deep mine water disaster. This paper focused on the microseism monitoring and forewarning technology of mine water disaster, and systematically combed its technical system. At the level of monitoring and interpretation, based on the acquisition and analysis of elastic wave signal of rock mass rupture, four key links were constructed, including weak signal positioning accuracy guarantee, underground monitoring array optimization, intelligent classification of water movement events, stress inversion and fracture interpretation, so as to realize the closed loop from signal perception to geological information interpretation. At the level of forewarning methods, the active detection technology of ' artificial induced shock ' was proposed, and a multi-model collaborative forewarning system suitable for different geological conditions was established, including the ' three-level forewarning ' model for thin aquifuge, the water outburst model of thick aquifuge based on the theory of ' lower four zones ', the microseism surge threshold method, the warning layer forewarning method, the remote dense area forewarning method and the multi-attribute analysis method. These differentiated forewarning methods covered the needs of multi-scenario water disaster risk identification. The typical case showed that the technology achieved remarkable results in the exploration of hidden water conducting channels and fracture zones, the evaluation of water outburst risk areas, the monitoring of groundwater strong runoff zones, the discrimination of water conductivity of collapse columns, the identification of water outburst sources, the risk control and effect evaluation of grouting, etc. It provided the whole process technical support for the ' advanced exploration-real-time monitoring-precise prevention and control ' of mine water disasters. Finally, the bottlenecks of current technology in real-time performance, universality of forewarning model and multi-source data fusion were analyzed, and the breakthrough path to intelligent, transparent and accurate development was pointed out, which provided the direction for the development of mine disaster monitoring and forewarning technology.
