Abstract
Rock burst prediction method for coal mining is one of the worldwide challenging problems. Based on a high precision microseismic monitoring system consisting of nine geophones installed in Qixing Coal Mine in China, abundant microseismic events were detected through the continuous monitoring for 80 days. The potential high risk areas of rock burst were determined by analyzing the spatial and temporal distribution characteristics of microseismic events, which provides the basis for the early risk warning during the mining process. After a comprehensive analysis of the spatial and temporal evolution characteristics of the microseismic events, a prediction model for rock burst prediction was built based on the principles of seismology and rock mechanics by setting four indicators as prediction parameters, such as the average number of microseismic events N, the average released energy E, the decrease Δb of the seismological parameter b, and the potential maximum seismic magnitude M m. It was found that all the four prediction indicators are useful for predicting rock burst but they could vary greatly in efficiency in the practical engineering applications.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (51474188; 51074140), the Natural Science Foundation of Hebei Province of China (E2014203012), the International Cooperation Project of Henan Science and Technology Department (162102410027), the International Cooperative Talent Project of Henan Province (2016GH22), the Doctoral Fund of Henan Polytechnic University (B2015-67), and Program for Taihang Scholars. All these were gratefully acknowledged.
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Wang, S., Li, C., Yan, W. et al. Multiple indicators prediction method of rock burst based on microseismic monitoring technology. Arab J Geosci 10, 132 (2017). https://doi.org/10.1007/s12517-017-2946-8
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DOI: https://doi.org/10.1007/s12517-017-2946-8