Study on influencing factors of gas emission in horizontal sub-level mining face of steeply inclined and extra-thick coal seam

被引：0
|
作者：
Chen J. [1 ]
Wang S. [2 ,3 ]
Liu X. [1 ]
Zheng S. [1 ]
Wang G. [2 ,3 ]
Sun L. [3 ]
机构：
[1] Wudong Coal Mine, Shenhua Xinjiang Energy Co., Ltd., Urumqi
[2] College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao
[3] State Key Laboratory of Mining Disaster Prevention and Control Co-founded byShandong Province, The Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao
来源：
Meitan Kexue Jishu/Coal Science and Technology (Peking) | 2022年 / 50卷 / 03期
关键词：
gas emission; horrizontal section mining; method of sub - source pridiction; sensitivity analysis; steeply inclined extra thick coal seam;
D O I：
10.13199/j.cnki.cst.2021-0090
中图分类号：
学科分类号：
摘要：
The problem of gas emission in the working face of steeply inclined super thick coal seam has seriously affected the safety pro⁃ duction of coal mines, so it is very important to study the gas emission in the working face of steeply inclined super thick coal seam.In order to study the influence of various factors on the gas emission in the working face of steeply inclined super thick coal seam, the prediction model of gas emission in the working face of steeply inclined super thick coal seam was constructed by using the method of sub-source pre⁃ diction.Wudong Coal Mine +575 m horizontal No.45 coal seam west wing working face gas emission source was analyzed and the gas emis⁃ sion volume of the working face was predicted.The modified Morris screening method was used to analyze the sensitivity of various factors affecting gas emission in the Wudong Coal Mine +575 m horizontal No.45 coal seam west wing and No.43 coal seam west wing mining working face.The prediction results of the prediction model are in high consistency with the measured results.The maximum relative error is 5.43%, the minimum error is 0.18%, and the average relative error is 3.23%, which verifies the accuracy of the prediction model.The gas emission in the mining face mainly comes from the mining section and the lower coal body, while the gas emission in the adjacent coal seam and the upper goaf area is less.The sensitivity analysis results of the working face in the west wing of the +575 m horizontal No.45 coal seam are generally consistent.The coal loss gas emission coefficient of the working face, the gas emission of the mining seam, the original gas content of the coal seam, and the gas content gradient of the mining coal seam are all highly sensitive parameters, and the surrounding rock gas emission coefficient and the layered gas gushing coefficient are all sensitive parameters.The mining-influenced damage depth is a medium sensitivity parameter, and the gas emission coefficient of the old gob is an insensitive parameter. © 2022 by the Author(s).
引用
下载
收藏
页码：127 / 135
页数：8
相关论文
共 23 条
  • [1] CHEN Guohong, WANG Zhonghua, SUN Luanluan, Research on outburst laws and countermeasures in steep coal seam group, China Coal, 43, 10, pp. 105-108, (2017)
  • [2] ZHANG Jiuling, FAN Jiuyuan, Application and effect analysis of coal seam water injection technology in Lyujiatuo Coal Mine, Safety in Coal Mines, 48, 10, pp. 136-138, (2017)
  • [3] DU Changang, SUN Lulu, ZHANG Yanbo, Et al., Study on law of fracture field of overlying strata and gas control technology of steeply inclined coal seam by stratified mining [ J ], Coal Technology, 37, 9, pp. 70-72, (2018)
  • [4] WU Aiyou, TIAN Yunli, SONG Yi, Et al., Application of the grey system theory for predicting the amount of mine gas emission in coal mine, Journal of China Coal Society, 30, 5, pp. 47-50, (2005)
  • [5] GUO Deyong, ZHENG Maojie, JU Chuanlei, Et al., Stepwise regression method for predicting gas emission from coal faces, Chinese Journal of Engineering, 31, 9, pp. 1095-1099, (2009)
  • [6] WANG Ming, WANG Jianjun, Gas emission prediction model of stope based on random forest, Safety in Coal Mines, 43, 8, pp. 182-185, (2012)
  • [7] FU Hua, JIANG Wei, SHAN Xinxin, Study on coupling algorithm on coal mine gas emission forecast model, Journal of China Coal Society, 37, 4, pp. 654-658, (2012)
  • [8] WANG Xiaopeng, Study on prediction method of gas emission in fully mechanized caving face of single thick coal seam, Energy Technology and Management, 45, 3, pp. 38-40, (2020)
  • [9] LI Qu, CAI Zhihua, ZHU Li, Et al., Application of gene expression programming in predicting the amount of gas emitted from coal face, Journal of Basic Science and Engineering, 1, pp. 49-54, (2004)
  • [10] ZHENG Sanlong, FAN Jiuyuan, WANG Gang, Et al., Research and application of gas stereoscopic drainage technology in horizontal slicing working face of steeply and ultra-thick coal seam, Min⁃ ing Safety & Environmental Protection, 47, 6, pp. 69-74, (2020)
123