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复合煤层物性差异性试验研究
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  • 英文篇名:Experimental study on differences of physical properties of composite coal seam
  • 作者:王兆丰 ; 岳基伟 ; 俞宏庆 ; 李学臣
  • 英文作者:WANG Zhaofeng;YUE Jiwei;YU Hongqing;LI Xuechen;School of Safety Science and Engineering,Henan Polytechnic University;Ministry of Education Engineering Center of Mine Disaster Prevention and Rescue;Jiaozuo Coal Industry (Group) Co.,Ltd.;
  • 关键词:复合煤层 ; 物性 ; 差异性 ; 孔隙结构 ; 瓦斯含量
  • 英文关键词:H3 well group;;logging inversion;;coal structure;;geological modeling
  • 中文刊名:煤炭科学技术
  • 英文刊名:Coal Science and Technology
  • 机构:河南理工大学安全科学与工程学院;煤矿灾害预防与抢险救灾教育部工程研究中心;焦作煤业(集团)有限责任公司;
  • 出版日期:2019-07-15
  • 出版单位:煤炭科学技术
  • 年:2019
  • 期:07
  • 基金:国家自然科学基金资助项目(51274090);; 河南省高校科技创新团队支持计划资助项目(17IRTSTHN030)
  • 语种:中文;
  • 页:36-43
  • 页数:8
  • CN:11-2402/TD
  • ISSN:0253-2336
  • 分类号:TD712
摘要
煤层的物性特征与煤与瓦斯突出、煤层瓦斯含量密切相关,为降低复合煤层的煤与瓦斯突出的危险性、煤层瓦斯含量,分别采用低温液氮吸附试验、压汞试验、甲烷等温吸附/扩散试验对焦作矿区复合煤层中的软硬煤物性差异性进行研究。结果表明:软煤的BJH孔容及BET比表面积均大于硬煤;构造作用可使一部分可见孔或裂隙转化为中大孔,硬煤的孔隙联通性比软煤的孔隙联通性好。软煤中一端开放的细颈瓶型孔占的比例较大,造成软煤的退汞效率低,这是软煤易发生煤与瓦斯突出的重要原因之一;软煤的吸附常数a值稍大于硬煤,而比表面积却有显著差异,孔隙中吸附瓦斯不仅与比表面积有关,还与孔径大小、吸附层数及兰纳-琼斯势能有关;软煤的扩散系数大于硬煤,其衰减得比硬煤快,扩散系数与时间呈现出时变特性;在软硬分层进行现场取心实测煤层瓦斯含量时,应以软分层漏失量最小为基准采取抑制瓦斯漏失的措施,以实现煤层瓦斯含量的准确测定;在软分层进行瓦斯抽采时应适当加长抽采时间、减小钻孔间距,达到软分层消突效果。软硬分层的瓦斯含量与软硬煤的水分、孔隙率相关,孔隙率越大游离瓦斯含量越大,平衡水分抑制煤体瓦斯吸附,平衡水分越大其吸附量越小。如果软分层的瓦斯含量大于硬分层的瓦斯含量,在进行瓦斯抽采效果检验时,软分层是首选检验对象;如果软分层的瓦斯含量不大于硬分层的瓦斯含量,在进行瓦斯抽采效果检验时,软分层和硬分层应同时作为检验对象。
        This paper is devoted to quantitatively identify coal structure and study the distribution characteristics of coal structure in Hancheng H3 well group. The drilling coring data and the differences of logging response characteristics of coal seams with different coal structure are analyzed. The method of identifying coal structure with dual parameters of coal structure index( N) and ratio of deep lateral resistivity to micro resistivity R( LLD/MSFL) is established. According to the inversion model,and the logging interpretation of coal structure in 29 wells was completed,and the vertical distribution characteristics of coal structure were clarified. Furthermore,the stochastic modeling method is used to realize the three-dimensional visualization of the spatial distribution characteristics of coal structure using the Petrel2015 three-dimensional geological modeling software. The results show that in No.5 coal seam,N<40 and R<81 are ClassⅠcoal( primary-cataclastic coal),N<42 and 82
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