4.7 Article

Precursor Information Recognition of Rockburst in the Coal-Rock Mass of Meizoseismal Area Based on Multiplex Microseismic Information Fusion and Its Application: A Case Study of Wudong Coal Mine

Journal

LITHOSPHERE
Volume 2022, Issue -, Pages -

Publisher

GEOSCIENCEWORLD
DOI: 10.2113/2022/7349759

Keywords

-

Funding

  1. Natural Science in Shaanxi Province [S2019-JC-LH-QY-SM-0102]
  2. National Natural Science Foundation of China [51904227]
  3. Key Laboratory of Western Mine Exploitation and Hazard Prevention, Ministry of Education [SKLCRKF1901]
  4. Key Research and Development Program of Shaanxi Province [2018ZDXM-SF-018]
  5. Key R&D Project of Yulin National High-tech Industrial Development Zone [2D-2021-01]

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The study found that the microseismic activity at Wudong Coal Mine is mainly of stress migration type, with the sandwiched rock pillar as the primary inducement of rockburst. Precursory indexes of rockburst were proposed based on time scale and strength index, allowing for prediction of rockburst occurrence. The risk of rockburst is positively correlated with the decline rate of energy index, the growth rate of cumulative apparent volume, and Schmidt.
In recent years, the rockburst induced by steeply inclined coal seam mining in the Urumqi mining area has become serious. In this paper, the evolution law of multiplex microseismic information before and after the rockburst is obtained through in-depth mining of the field microseismic data. In addition, the evolution characteristics of microseismic activities before and after the rockburst of steeply inclined coal-rock mass in the meizoseismal area are revealed from three important scales: time, space, and strength. The results show the following: (1) The microseismic activity of the Wudong Coal Mine is mainly of stress migration type. The sandwiched rock pillar is the primary inducement of rockburst, and the b value decreases greatly with the mining progresses (by 23.9%). It indicates that the risk of rockburst induced by the local failure of rock mass in this area is increasing. (2) From the time scale and strength index, the precursory indexes of rockburst are put forward, respectively:the daily total energy and the frequency of microseisms suddenly rise and fall rapidly at the same time in the shock start-up period (5 days before rockburst), and the daily total energy of microseisms decreases to the abnormal valley value within 30 days. The abnormal growth rate of microseismic events exceeded 60% in a certain stage, and induced shock events appeared. (3) The shock risk is positively correlated with the decline rate of energy index, the growth rate of cumulative apparent volume, and Schmidt. It is determined that the rockburst will occur within 19 days after entering the shock early warning period. The results of prediction examples show that this method has a good prediction effect on rockburst in strong meizoseismal areas, which can provide a reference for rockburst prevention in the mining process in strong meizoseismal areas.

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