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A new method to determine the sensitivity of coal and gas outburst prediction index

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Abstract

With the increase of mining, depth, coal, and gas outburst has become one of the major disasters in deep coal mines. The accurate prediction of coal and gas outburst, which is directly determined by the prediction index sensitivity, is the key to the prevention and control of coal and gas outburst disasters. In this paper, a new method for determining the sensitivity of coal and gas outburst prediction index was established. First, the laws of coal and gas outburst and main factors that induced coal and gas outburst in Zhongling coal mine were analyzed; on this basis, the sensitivity analysis standards of outburst prediction index were established. Moreover, the sensitivity experiments of the drill cuttings weight index S, the drilling gas emission initial velocity index q, and the drill cuttings gas desorption index K1 were carried out in Zhongling coal mine no. 3 coal seam. It is concluded that S and q did not change obviously with geological structure, gas content, and ground stress. In other words, they could not accurately reflect the actual outburst risk of coal seam, so they were of poor sensitivity to the coal and gas outburst predictions. On the contrary, K1, which changed obviously with the three factors, accurately reflected the actual outburst risk of coal seam and was more sensitive to the coal and gas outburst prediction.

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Funding

This work was supported by the Fundamental Research Funds for the Central Universities (2015XKMS003).

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Authors and Affiliations

  1. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, 400044, China

    Junhui Mou & Huihui Liu

  2. Key Laboratory of Gas and Fire Control for Coal Mines, China University of Mining & Technology, Xuzhou, 221116, Jiangsu, China

    Huihui Liu

  3. School of Safety Engineering, China University of Mining & Technology, Xuzhou, 221116, Jiangsu, China

    Huihui Liu

  4. China Coal Technology Engineering Group Chongqing Research Institute, Chongqing, 400044, China

    Yinhui Zou & Qiulin Li

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  1. Junhui Mou
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  2. Huihui Liu
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  3. Yinhui Zou
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  4. Qiulin Li
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Correspondence to Huihui Liu.

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The authors declare that they have no conflict of interest.

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Responsible Editor: Santanu Banerjee

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Mou, J., Liu, H., Zou, Y. et al. A new method to determine the sensitivity of coal and gas outburst prediction index. Arab J Geosci 13, 465 (2020). https://doi.org/10.1007/s12517-020-05503-7

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  • DOI: https://doi.org/10.1007/s12517-020-05503-7

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