Experimental Investigations on Continuous Flow Method for Predicting Coal Roadway Outburst
DOI:
https://doi.org/10.54691/f3pxc807Keywords:
Continuous Flow Method; Coal Roadway Outburst Prediction; Coal and Gas Outburst; Gas Flow Rate.Abstract
Coal and gas outburst has always been one of the main disasters affecting coal mine safety production, and the main areas where coal and gas outburst accidents occur are mainly coal roadway excavation. Taking the 3501 intake and return airway of the 3rd coal seam in Xinyuan Coal Mine as the research object, the latest continuous flow coal roadway excavation outburst prediction technology is introduced. Starting from simulating the in-situ coal seam on the coal roadway simulation test platform, the sensitivity and critical value of the outburst hazard index of the simulated coal seam with known outburst hazard are determined through drilling tests. At the same time, the critical values were applied to the continuous flow method on-site verification work. After application, the critical values of the outburst prediction indicators for the No. 3 coal seam excavation working face of Xinyuan Coal Mine were determined: the critical value of weak outburst due to initial gas release expansion energy was 42.98mJ/g, the critical value of K1 outburst due to drilling cuttings desorption index was 0.41mL/g • min1/2, and the critical value of Smax outburst was 6.1147Kg/m.
Downloads
References
[1] Cao Jie. Statistical Patterns and Dynamic Characteristics of Coal and Gas Outburst Accidents in China over the Past Decade [J]. Mining Safety & Environmental Protection, 2024, 51(03): 36-42+49.
[2] Fan Chaojun, Zhang Xinpeng, Yang Lei, et al. Spatiotemporal Distribution Patterns of Coal and Gas Outburst Accidents in China from 1950 to 2022 [J]. Journal of Liaoning Technical University (Natural Science Edition), 2024, 43(03): 279-287.
[3] Jiang Chenglin, Yu Qixiang, Zhang Chaojie. Laboratory Determination Method and Application of Sensitive Indicators and Critical Values for Coal Roadway Outburst Prediction [J]. Safety in Coal Mines, 2021, 52(10): 24-29.
[4] Xu Xuezhan. Continuous Prediction Technology and Application of Coal and Gas Outburst Based on Gas Emission Characteristics [J]. China Energy and Environmental Protection, 2021, 43(01): 1-7.
[5] Zhang Fei. Research on Sensitivity Determination Method of Local Prediction Indicators for Coal and Gas Outburst in Zhongling Coal Mine [J]. China Mining Magazine, 2021, 30(09): 150-155.
[6] Cheng Yuanping, Zhou Hongxing. Research Progress on Sensitive Indicators and Critical Values for Coal and Gas Outburst Prediction [J]. Coal Science and Technology, 2021, 49(01): 146-154.
[7] Xu Xuezhan. Prediction Equipment System and Application Effect of Mine Outburst Prevention Information [J]. Safety in Coal Mines, 2020, 51(12): 100-104.
[8] Wu Xiaosha, Tian Shixiang, Ma Ruishuai, et al. Study on Predicting Coal Roadway Outburst Risk Based on Initial Gas Emission Law of Coal Mass [J]. Journal of Safety Science and Technology, 2021, 17(04): 116-121.
[9] Ma Ruishuai, Xu Shiqing, Lin Huaying. Study on Gas Emission Patterns in Boreholes Under Different Outburst Conditions [J]. Mining Technology, 2021, 21(02): 118-123.
[10] Chen Liang, Liu Qi. Research on Coal and Gas Outburst Risk Prediction Using Weighted Grey Target Decision Method [J]. Safety and Environmental Engineering, 2021, 28(06): 61-66.
[11] Liang Yueqiang. Coal and Gas Outburst Prediction Method Based on Coupling of Gas Geology and Monitoring Information [J]. Industrial Safety and Environmental Protection, 2022, 48(06): 27-32.
[12] Lan Haiping, Zhang Zhigang, Xu Zaigang, et al. Design of Gas Concentration Prediction and Outburst Early Warning System Based on LSTM [J]. Mining Safety & Environmental Protection, 2023, 50(02): 64-70.
[13] Wu Yan, Hu Lintao, Tian Chang, et al. Determination of Sensitive Indicators and Critical Values for Outburst Prediction in Coal Roadway Driving Faces [J]. Coal Technology, 2023, 42(01): 171-174.
[14] Li Peng. Study on Critical Values for Coal Roadway Outburst Prediction Using Continuous Flow Method [J]. China Coal, 2018, 44(09): 103-107.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Scientific Journal of Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






