Quantitative Analysis of Prediction Indicators for Coal and Gas Outburst Risk

被引：0
作者：
Yu, Weijian [1 ,2 ]
Yang, Jie [1 ]
Zhou, Mingjuan [1 ]
Wang, Zhi [1 ]
机构：
[1] Hunan Univ Sci & Technol, Sch Resource & Environm & Safety Engn, Xiangtan 411201, Peoples R China
[2] Hunan Univ Sci & Technol, Hunan Prov Key Lab Safe Min Tech Coal Mines, Xiangtan 411201, Peoples R China
来源：
GEOTECHNICAL AND GEOLOGICAL ENGINEERING | 2024年 / 42卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Coal and gas outburst; Forecast; Rock engineering system (RES); Cloud drop map; BP neural network;
D O I：
10.1007/s10706-024-02751-2
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
This study assesses the risk of coal and gas outburst using the theory of rock engineering system, selects seven prediction indices that are significantly related to outburst, and improves on the Back Propagation (BP) neural network technique by applying the Sparrow Search Algorithm (SSA). The improved SSA-BP network is expected to yield discoveries with higher calculation accuracy. Simultaneously, quantitative and qualitative indicators are obtained, and a coal and gas outburst prediction model is constructed based on the cloud drop chart's subordination degree of outburst indicators. The created cloud model predicts the hazard of coal and gas outburst in analyzed coal seams. Eight of the previous nine measurement locations are at risk of medium coal and gas outburst, while only one is at risk of a super big coal and gas outburst.
引用
收藏
页码：3671 / 3690
页数：20
相关论文
共 35 条
[1]  
[陈筠 Chen Jun], 2014, [工程地质学报, Journal of Engineering Geology], V22, P456
[2]  
Cui L, 2019, VIBROENGINEERING PRO, V28, P30, DOI [10.21595/vp.2019.21086, 10.21595/vp.2019.21086, DOI 10.21595/VP.2019.21086]
[3]  
Gao, 2019, J CATAS, DOI [10.3969/j.issn.1000-811X.2019.01.004, DOI 10.3969/J.ISSN.1000-811X.2019.01.004]
[4]  
Hu B., 2021, MIN TECHNOL, V21, P101, DOI [10.3969/j.issn.1671-2900.2021.02.026, DOI 10.3969/J.ISSN.1671-2900.2021.02.026]
[5]   Influence Mechanism of Mine Pressure on Coal Seam Gas Emission During Mining [J].
Hu, Chaowen ;
Li, Qian ;
Wang, Yilong ;
Li, Yongyuan ;
Wang, Yaqian ;
Chang, Ke .
GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2022, 40 (06) :3067-3074
[6]  
Huang Q., 2016, J LIAONING TECH U NA, V35, P248, DOI DOI 10.11956/J.ISSN.1008-0562.2016.03.005
[7]  
Hudson J., 1992, ROCK ENG SYSTEMS, V1st
[8]   THE FULLY-COUPLED MODEL FOR ROCK ENGINEERING SYSTEMS [J].
JIAO, Y ;
HUDSON, JA .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES & GEOMECHANICS ABSTRACTS, 1995, 32 (05) :491-512
[9]  
Jin liu, 2021, Journal of Beijing University of Technology, P260, DOI 10.11936/bjutxb2020010020
[10]   Gas Migration Law and Precision Extraction in Close Distance Coal Seam Goaf: A Case Study [J].
Li, Fei ;
Shang, Yuqi ;
Kong, Dezhong ;
Zhang, Guolei ;
Wang, Yang ;
Wang, Yuliang ;
Zhang, Zhiwei .
GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2023, 41 (06) :3781-3801
1234