An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor
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An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor MA Ke(马克)1, 2, SUN Xing-ye(孙兴业)1, 2, TANG Chun-an(唐春安)1, 2, WANG Su-jian(王苏健)3, YUAN Fu-zhen(原富珍)1, 2, 4, PENG Yi-lin(彭宜霖)2, 5, LIU Kai(刘凯)6 1. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China; 2. Institute of Rock Instability and Seismicity Research, Dalian University of Technology, Dalian 116024, China; 3. Shannxi Coal and Chemical Technology Institute Company Limited, Xi’an 710065, China; 4. China Petroleum Pipeline Engineering Corporation, Langfang 065000, China; 5. School of Environmental Science, University of Liverpool, Liverpool L69 3BX, United Kingdom; 6. Department of Engineering Science, University of Oxford, Parks Road, OX1 3PJ, United Kingdom © Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract: Dongjiahe Coal Mine belongs to the Carboniferous Permian coal field which has a high degree of karst and fissure development. This paper takes the working face of Dongjiahe Coal Mine as an example; through the microseismic(MS) monitoring system arranged on the working face, the moment tensor theory was used to invert the focal mechanism solution of the anomalous area of the floor MS event; combining the numerical simulation and field data, the underlying floor faults were identified by the stress inversion method. The results show that: 1) Moment tensors were decomposed into three components and the main type of rupture in this area is mixed failure according to the relative criterion; 2) The hidden fault belongs to the reversed fault, its dip angle is approximately 70°, and the rupture length is 21 m determined by the inversion method of the initial dynamic polarity and stress in the focal mechanism; 3) The failure process of the fault is divided into three stages by numerical simulation method combined with the temporal and spatial distribution of MS events. The results can provide a reference for early warning and evaluation of similar coal mine water inrush risks. Key words: moment tensor inversion; water inrush; fault recognition; realistic failure process analysis Cite this article as: MA Ke, SUN Xing-ye, TANG Chun-an, WANG Su-jian, YUAN Fu-zhen, PENG Yi-lin, LIU Kai. An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor [J]. Journal of Central South University, 2020, 27(10): 3133−3148. DOI: https://doi.org/10.1007/s11771-020-4534-4.
1 Introduction As we all know, “water, fire, gas, dust, roof” are the five major disasters that seriously affect the
safe and efficient production of coal mines. Nearly 50% of mine accidents are related to groundwater according to statistics [1, 2]. In recent years, the adverse effects of high-pressure water aquifers have attracted people’s attention due to increasing
Foundation item: Project(2017YFC1503103) supported by the National Key Research and Development Plan of China; Projects(51774064, 51974055, 41941018) sup
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