ARTICLE

Prediction of gas outburst in a coalmine based on simultaneous prestack seismic inversion: a case study in China

JUANJUAN LI1,2 RUOFEI CUI1 DONGMING PAN1 SHENEN CHEN1 MINGSHUN HU1 XIN ZHAO3
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1 China University of Mining and Technology, Xuzhou 221116, P.R. China.,
2 Department of Civil Engineering, University of North Carolina at Charlotte, Charlotte, NC 28223, U.S.A.,
3 IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221118, P.R. China.,
JSE 2013, 22(5), 463–475;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Li, J., Cui, R., Pan, D., Chen, S., Hu, M. and Zhao, X., 2013. Prediction of gas outburst in a coal mine based on simultaneous prestack seismic inversion: a case study in China. Journal of Seismic Exploration, 22: 453-475. In deep mines, gas outburst accidents can result in serious coal mine safety and economic loss, which means extraction of coal from the deep strata can be a critical problem for industry energy in China. Based on the differences in the physical properties between deformed coal and original bituminous coal, this paper shows the results in different seismic attributes: acoustic impedance, elastic impedance, »*p and *p from prestack seismic data, and suggest that they can be used to assess the distribution of deformed coal. Our results show that the gas outburst associated with the distribution of deformed coal can be reliably predicted. We conclude that the prestack seismic attributes provide a new way of effectively assessing potential risks of gas outburst in mining operation, and may therefore be practically used in the large-scale development of coal bed methane resources.

Keywords
deformed coal
elastic impedance inversion
simultaneous inversion
gas outburst prediction
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing