Response law and indicator selection of seismic wave velocity for coal seam outburst risk

Authors

  • Liming Qiu State Key Laboratory of the Ministry of Education of China for High-efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, P. R. China; Pingdingshan Tianan Coal Mining Co., Ltd., Pingdingshan 467099, P. R. China
  • Yi Zhu State Key Laboratory of the Ministry of Education of China for High-efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Qiang Liu State Key Laboratory of the Ministry of Education of China for High-efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Minggong Guo Pingdingshan Tianan Coal Mining Co., Ltd., Pingdingshan 467099, P. R. China
  • Dazhao Song* State Key Laboratory of the Ministry of Education of China for High-efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, P. R. China(Email:song.dz@163.com)
  • Anhu Wang Technical Support Centre for Prevention and Control of Disastrous Accidents in Metal Smelting, University of Science and Technology Beijing, Beijing 100083, P. R. China

Keywords:

Seismic wave computed tomograph, coal seam stress field, wave velocity anomaly coefficient, wave velocity gradient

Abstract

The accurate detection of coal seam stress field effectively prevents coal and gas outbursts. This study uses wave velocity, wave velocity anomaly coefficient, and wave velocity gradient as indicators to identify stress anomalies in coal seam. The results show that these three indicators of wave velocity are all positively correlated with load, while changes in the wave velocity anomaly coefficient and wave velocity gradient are more gentle than those of wave velocity. The degree of damage of coal can be judged by the wave velocity anomaly coefficient, while the transition between high and low stress zones can be identified by the wave velocity gradient. In areas affected by geological structures such as valleys and mountain tops, the coal seam wave velocity and wave velocity anomaly coefficient may exhibit anomalies. The comparative analysis of wave velocity and its derived indicators can reveal the stress state and coal structure of coal seam with higher accuracy, identify the areas affected by geological structures such as valleys and mountain tops, and determine the boundary of the stress relief zone after hydraulic fracturing. Combined with the actual geological structure characteristics of coal seam, it can accurately identify the stress disturbance region of coal seam and achieve the purpose of predicting coal and gas outbursts.

Document Type: Original article

Cited as: Qiu, L., Zhu, Y., Liu, Q., Guo, M., Song, D., Wang, A. Response law and indicator selection of seismic wave velocity for coal seam outburst risk. Advances in Geo-Energy Research, 2023, 9(3): 198-210. https://doi.org/10.46690/ager.2023.09.07

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Published

2023-09-18

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