Title: Sensitivity and critical values of prediction indexes of gas outburst of composite coal seams based on energy theory

Authors: Weiwei Su; Yujin Qin; Shouqing Lu

Addresses: China Coal Research Institute, Beijing 100013, China; State Key Laboratory of Coal Mine Safety Technology, China Coal Technology and Engineering Group Shenyang Research Institute, Shenfu Demonstration Zone, 113122, China ' State Key Laboratory of Coal Mine Safety Technology, China Coal Technology and Engineering Group Shenyang Research Institute, Shenfu Demonstration Zone, 113122, China; Department of Safety Engineering, Qingdao University of Technology, Jialingjiang Road 777#, Qingdao, Shandong 266520, China ' Department of Safety Engineering, Qingdao University of Technology, Jialingjiang Road 777#, Qingdao, Shandong 266520, China

Abstract: The accurate prediction of gas outbursts plays a crucial role in preventing and managing these events, which can have devastating effects on the safety of miners. In order to improve the accuracy, a new model for gas expansion energy was developed based on energy theory and combined with both steady diffusion and unsteady diffusion models. The relationship between outburst energy, regional prediction indexes, and coal seam depth was discussed, it is proposed that for soft and hard composite coal seams (SHCS), the gas content, with a critical value of 9.00 m3/t, was determined as the regional prediction index. Mover, it was discovered that local prediction indexes were significantly responsive to alterations in gas pressure. Notably, the K1, with a critical value of 0.60 mL/ (gmin0.5), was identified as the primary local prediction index. The results of these investigations establish a robust theoretical basis for enhancing the precision of gas outburst prediction indexes. [Received: June 2, 2024; Accepted: March 7, 2025]

Keywords: soft coal; composite coal seams; regional prediction index; local prediction index; outburst energy.

DOI: 10.1504/IJOGCT.2026.153880

International Journal of Oil, Gas and Coal Technology, 2026 Vol.40 No.1, pp.43 - 64

Received: 19 May 2024
Accepted: 07 Mar 2025

Published online: 29 May 2026 *

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