• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
急倾斜特厚煤层水平分段开采工作面瓦斯涌出影响因素研究
  • Title

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

  • 作者

    陈建强王世斌刘旭东郑三龙王刚孙路路

  • Author

    CHEN Jianqiang,WANG Shibin,LIU Xudong,ZHENG Sanlong,WANG Gang,SUN Lulu

  • 单位

    神华集团新疆能源有限责任公司乌东煤矿山东科技大学能源与矿业工程学院山东科技大学矿山灾害预防控制省部共建国家重点试验室培育基地

  • Organization
    Wudong Coal Mine,Shenhua Xinjiang Energy Co.,Ltd.,; College of Energy and Mining Engineering,Shandong University of Science and Technology; State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology,Shandong University of Science and Technology
  • 摘要

    急倾斜特厚煤层回采工作面瓦斯涌出问题已经严重影响到煤矿的安全生产。为研究急倾斜特厚煤层回采工作面各因素对瓦斯涌出量的影响,利用分源预测法构建了急倾斜特厚煤层回采工作面瓦斯涌出量预测模型,对采用水平分段综放开采的乌东煤矿+575 m水平45号煤层西翼回采工作面的瓦斯涌出源进行分析并预测工作面的瓦斯涌出量,采用修正的Morris筛选法对采用水平分段综放开采的乌东煤矿+575 m水平45号煤层西翼及43号煤层西翼回采工作面影响瓦斯涌出量的各个因素进行灵敏度分析,结果表明:乌东煤矿+575 m水平45号煤层回采工作面瓦斯涌出量预测模型的预测结果与实测结果具有较高一致性,其最大相对误差为5.43%,最小为0.18%,平均相对误差为3.23%,验证了预测模型的准确性;回采工作面的瓦斯涌出主要来自于开采分段与下部煤体,邻近煤层与上部老采空区的瓦斯涌出所占比重较少;+575 m水平43号煤层西翼回采工作面与+575 m水平45号煤层西翼回采工作面的灵敏度分析结果整体上具有一致性,工作面的丢煤瓦斯涌出系数、开采层瓦斯涌出、煤层的原始瓦斯含量、开采煤层瓦斯含量梯度均为高灵敏度参数,围岩瓦斯涌出系数和分层瓦斯涌出系数均为灵敏参数,采动影响破坏深度为中灵敏度参数,老采空区瓦斯涌出系数为不灵敏参数。

  • Abstract

    The problem of gas emission in the working face of steeply inclined super thick coal seam has seriously affected the safety production 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 prediction.Wudong Coal Mine +575 m horizontal No.45 coal seam west wing working face gas emission source was analyzed and the gas emission 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. 

  • 关键词

    急倾斜特厚煤层瓦斯涌出量灵敏度分析水平分段开采分源预测法

  • KeyWords

    steeply inclined extra thick coal seam; gas emission;sensitivity analysis;horrizontal section mining;method of sub-source pridiction

  • 基金项目(Foundation)
    国家自然科学基金资助项目(51974176);山东省自然科学杰出青年基金资助项目(ZR2020JQ22);2018年自治区引进高层次人才天池百人计划资助项目(新人社函\[2019\]39号)
  • 引用格式
    陈建强,王世斌,刘旭东,等.急倾斜特厚煤层水平分段开采工作面瓦斯涌出影响因素研究[J].煤炭科学技术,2022,50(3):127-135.
    CHEN Jianqiang,WANG Shibin,LIU Xudong,et al.Study on influencing factors of gas emission in horizontal sub-level mining face of steeply inclined and extra-thick coal seam[J].Coal Science and Technology,2022,50(3):127-135.
  • 相关文章
  • 相关专题
相关问题

主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

©版权所有2015 煤炭科学研究总院有限公司 地址:北京市朝阳区和平里青年沟东路煤炭大厦 邮编:100013
京ICP备05086979号-16  技术支持:云智互联