Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study

Xiaofei Liu, Siqing Zhang, Enyuan Wang (), Zhibo Zhang, Yong Wang and Shengli Yang
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Xiaofei Liu: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Siqing Zhang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Enyuan Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Zhibo Zhang: School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Yong Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Shengli Yang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China

IJERPH, 2022, vol. 20, issue 1, 1-18

Abstract: Rockburst is a major disaster in deep mining, restricting the safety and the production efficiency of the Laohutai Coal Mine in Fushun, Liaoning Province. To predict and prevent coalmine rockbursts, a comprehensive method based on multi-instrument monitoring is proposed by using a YDD16 acoustic-electromagnetic monitor and microseismic monitoring system, including microseismic (MS) monitoring, electromagnetic radiation (EMR) monitoring, and acoustic emission (AE) monitoring. Field investigation shows that MS, AE, and EMR signals have abnormal precursors before rockbursts in a new working face. Based on the fluctuation theory and D-S evidence theory, the multi-index geophysical monitoring and early warning technology for rockburst disasters in the Laohutai Coal Mine are established. The method has been applied to the prediction of rockbursts in the Laohutai Coal Mine. The application shows that the acoustic-electromagnetic synchronous monitoring and early warning technology can accurately identify the potential rockburst risk and trigger an early warning, which is more reliable than a single method. The case study of the Laohutai rockburst shows that the joint early warning method of multi-instrument comprehensive monitoring can predict the possibility of rockbursts.

Keywords: rockburst; microseismic; acoustic emission; electromagnetic radiation; early warning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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