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Investigation of coal and gas outburst risk by microseismic monitoring

Author

Listed:
  • Anhu Wang
  • Dazhao Song
  • Xueqiu He
  • Linming Dou
  • Zhenlei Li
  • Ziyin Zu
  • Quan Lou
  • Yingjie Zhao

Abstract

In order to improve the monitoring and prediction of coal and gas outburst, this paper proposes a new method for dynamic regional prediction of coal and gas outburst using microseismic (MS) monitoring. The theoretical basis of this method is presented. An index evaluation system was established and applied, based on which field tests were carried out in a coal mine. The results show that seismic monitoring with frequency and energy indexes can obtain good results for mining disturbance intensity monitoring and geological structure detection; the regional stress distribution detected by seismic wave tomography is consistent with the theoretical stress field, making its use of great significance for optimizing coal and gas outburst drilling parameters and improving overall tunneling efficiency. This approach overcomes the limitations of traditional methods in the temporal and spatial dimensions and realizes dynamic and continuous monitoring of coal and gas outburst-prone areas.

Suggested Citation

  • Anhu Wang & Dazhao Song & Xueqiu He & Linming Dou & Zhenlei Li & Ziyin Zu & Quan Lou & Yingjie Zhao, 2019. "Investigation of coal and gas outburst risk by microseismic monitoring," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
    • Handle: RePEc:plo:pone00:0216464
    DOI: 10.1371/journal.pone.0216464
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    Cited by:

    1. Ahuja, Mayank & Mondal, Debjeet & Mishra, D.P. & Ghosh, Sayan & Kumar, Manoj, 2023. "Assessment of financial and environmental impacts of pre-mining methane drainage in Indian scenario: A case study using Jharia coal seams," Innovation and Green Development, Elsevier, vol. 2(3).

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