A new method for coal and gas outburst prediction and prevention based on the fragmentation of ejected coal. (1st March 2021)

• Record Type: Journal Article
• Authors: Zhang, Chaolin; Wang, Enyuan; Xu, Jiang; Peng, Shoujian
• Is Part Of: Fuel. Volume 287(2021)
• Publication Date: 2021-03-01
• Subjects: Coal and gas outburst -- Ejected coal -- Fragmentation index -- Relative intensity of outburst -- Outburst prediction and prevention; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2020.119493
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: Coal and gas outburst experiments with different conditions are conducted. A fragmentation index reflecting coal and gas outburst intensity is developed. The relationship between fragmentation index and hardiness coefficient is analyzed. A new method for coal and gas outburst prediction and prevention is proposed. Abstract: Coal and gas outbursts are among the most serious disasters affecting the safety of coal mines, with 39 deaths reported during 2019 in China. The cause of outbursts is fairly complicated and involves many influencing factors. Thus, methods of accurate prediction and prevention are quite immature. For this study, two groups of coal and gas experiments under different conditions are carried out to explore more effective prediction and prevention measures. The results show that a two-phase flow of coal and gas is ejected from an outburst mouth at high speed, crushing large particles into smaller ones. The crushing effect increases with a higher stress concentration factor and gas pressure, as does the relative intensity of outburst (RIO) nonlinearly. By analyzing the ejected coal, an outburst fragmentation index is developed based on a new surface theory, which can be linearly fitted with the RIO. The fitting parameters reflect the outburst risk from two dimensions. Next, the η prediction method is proposed, offering many advantages compared with current prediction methods. Furthermore, its relationship with the f prediction method is analyzed. Five grades of outburst risk (i.e., negligible-risk zone, low-risk zone, medium-risk zone, high-risk zone, and very-high-risk zone) are classified according to the ranges of fitting parameters. Finally, based on the η prediction method, a new method for coal and gas outburst prevention is specified, and its applications and prospects are discussed. The results have guiding significance for better preventing outbursts and ensuring safe coal-mine operations.