Experimental seismic attributes of gas-bearing anthracite

  • Bo Wang
  • Shengdong LiuEmail author
  • Fubao Zhou
  • Jialin Hao
GMGDA 2019
Part of the following topical collections:
  1. Geological Modeling and Geospatial Data Analysis


Coal mine accidents have seriously constrained the development of energy economy, in which coal and gas outburst accidents pose the greatest impact, accounting for more than 70% of the accident rate. At present, the mine usually uses the parameters to evaluate the risk of outburst, such as gas desorption index and drilling yield index. However, the traditional index method has the shortcomings of time lag, complicated operation, and difficult real-time monitoring. In this paper, the advanced detection method of multi-component seismic wave is used to obtain the seismic attributes in real time and fast way, and three-component reception and artificial hammer excitation are arranged in the roadway. The field tests were carried out on nine roadways of No. 3 anthracite in Yangquan Mining Area, China. The correlation between the absolute gas emission quantity and attributes of the seismic wave was studied. The results show that under the same coal seam, the correlation between the absolute gas emission quantity and the seismic wave velocity parameters is weak. The absolute gas emission quantity has a good exponential correlation with the quality factor Q, the attenuation coefficient α, and the dominant frequency value fm. The absolute gas emission quantity is negatively correlated with the quality factor Q, and the regression equation is Qg = 3.5644e−0.33Q with correlation coefficient R2 = 0.9126. With the increase of absolute gas emission quantity, the attenuation coefficient of gas-bearing anthracite rises, but the dominant frequency decreases. On account of the high correlation between the absolute gas emission quantity and the quality factor, real-time monitoring of the quality factor of seismic wave have theoretical significance for predicting coal and gas outburst, and it is expected to provide a new way of the prediction of the outburst risk.


Coal and gas outburst Seismic wave Absolute gas emission quantity Quality factor 



This research has been performed by the Fundamental Research Funds for the Central Universities (2017QNB11).


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Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  • Bo Wang
    • 1
  • Shengdong Liu
    • 1
    Email author
  • Fubao Zhou
    • 2
  • Jialin Hao
    • 1
  1. 1.State Key Laboratory of Deep Geomechanics & Underground Engineering and School of Resource and Earth ScienceChina University of Mining and TechnologyXuzhouChina
  2. 2.School of Safety EngineeringChina University of Mining and TechnologyXuzhouChina

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