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油储层天然气及煤层甲烷影响作用下的隧道瓦斯涌出量预测
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  • 英文篇名:Prediction of Gas Emission of Tunnel under the Influence of Natural Gas in Oil Reservoir and Coal Bed Methane
  • 作者:田坤云 ; 郑吉玉 ; 王喜民
  • 英文作者:TIAN Kunyun;ZHENG Jiyu;WANG Ximin;Department of Safety Science & Engineering, Henan University of Engineering;No.2 Engineering Corporation Limited of CR20G;
  • 关键词:含油砂岩 ; 天然气 ; 分源预测 ; 瓦斯涌出 ; 突出危险性
  • 英文关键词:Oil-bearing sandstone;;Natural gas;;Different-source prediction;;Gas emission volume;;Danger of outburst
  • 中文刊名:XDSD
  • 英文刊名:Modern Tunnelling Technology
  • 机构:河南工程学院安全工程学院;中铁二十局集团第二工程有限公司;
  • 出版日期:2019-02-15
  • 出版单位:现代隧道技术
  • 年:2019
  • 期:v.56;No.384
  • 基金:国家自然科学基金资助项目(51604091);; 河南省高等学校青年骨干教师资助项目(2017GGJS153)
  • 语种:中文;
  • 页:XDSD201901024
  • 页数:6
  • CN:01
  • ISSN:51-1600/U
  • 分类号:150-155
摘要
为了准确掌握阳山隧道掘进期间的瓦斯涌出量并确定其瓦斯等级,文章在分析隧道工区煤系地层瓦斯和油气储层天然气赋存规律的基础上,通过现场基础参数实测,利用分源预测法及钻孔流量法分别对煤层瓦斯及油储层天然气最大涌出量进行了预测,并建立了该类型隧道瓦斯涌出量预测数学模型。研究结果表明:该隧道穿过的煤层处于瓦斯风化带的氮气带,不具有突出危险性,隧道掘进期间煤层的最大瓦斯涌出量为0.037 m~3/min;含油砂岩储层的最大天然气涌出量为0.234 m~3/min;两种瓦斯源涌出最大总量为0.271 m~3/min,远小于0.5 m~3/min,该隧道可判定为低瓦斯隧道。
        In order to know the gas emission of Yangshan tunnel during construction so as to determine the its gaslevel, the maximum volumes of gas emission from coal seam and the natural gas from oil reservoir were predicted usingdifferent-source forecast method and drilling flow method, based on site testing of the basic parameters and analysison occurrence law of gas in coal strata and natural gas in oil reservoir. Meanwhile, a mathematical model of gasemission prediction of this type tunnel was established. The research results show that the coal seam through whichthe tunnel passes is located at a nitrogen band of gas weathering zone without dangers of coal burst and gas burst,and the maximum volume of gas emission from the coal seam is 0.037 m~3/min; the maximum volume of natural gasfrom oil reservoir is 0.234 m~3/min. So the maximum total volume of two kinds of gas source emission is 0.271 m~3/min,much less than 0.5 m~3/min, which means the tunnel could be determined as the low gas tunnel. The mathematical gasemission prediction model will provide a new method and approach for gas emission prediction of similar tunnels.
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