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

Author

Listed:
  • Xiaofei Liu

    (School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
    Key Laboratory of Gas and Fire Control for Coal Mines (China University of Mining and Technology), Ministry of Education, Xuzhou 221116, China
    Guizhou Anhe Yongzhu Technology Co., Ltd., Guiyang 550000, 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
    Key Laboratory of Gas and Fire Control for Coal Mines (China University of Mining and Technology), Ministry of Education, 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
    China Energy Engineering Group, Zhe Jiang Thermal Power Construction Co., Ltd., Hangzhou 310000, China)

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.

Suggested Citation

  • Xiaofei Liu & Siqing Zhang & Enyuan Wang & Zhibo Zhang & Yong Wang & Shengli Yang, 2022. "Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:392-:d:1015846
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