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习水县马临矿区主采煤层瓦斯含量分布趋势研究

Study on Gas Content Distribution Trend of Main Coal Seamsin Malin Mining Area of Xishui County
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摘要 为了进一步揭示习水县马临矿区主采煤层瓦斯含量分布趋势,在充分收集和整理矿区内瓦斯地质资料的基础上,首先分析了矿区内主采煤层瓦斯含量分布趋势影响因素,确定了主控因素。以矿区主采煤层瓦斯含量实测结果为基础,采用线性回归分析方法,建立了基于煤层埋深的马临矿区主采煤层瓦斯含量计算数学模型。依据数学模型对主采煤层瓦斯含量分布趋势进行了研究。结果表明:煤层埋深对马临矿区煤层瓦斯含量分布起控制作用,煤层瓦斯含量与埋深呈拟合度较高的线性关系。分析了主采煤层瓦斯含量大于8 m^(3)/t时的埋深范围。研究结果为习水县马临矿区瓦斯治理及煤层气开发提供依据,有利于保障习水县马临矿区煤矿安全生产。 In order to further reveal the gas content distribution trend of main coal seams in Malin Mining Area of Xishui County,based on the full collection and sorting of gas geological data in the mining area,firstly,the influencing factors of gas content distribution trend of main coal seams in the mining area are analyzed and the main controlling factors are determined.Based on the measured results of the gas content in the main coal seam in the mining area,a mathematical model for calculating the gas content in the main coal seam of Malin Mining Area based on the buried depth of the coal seam is established by using the linear regression analysis method.According to the mathematical model,the distribution trend of gas content in main mining coal seam is analyzed.The results show that the coal seam buried depth controls the distribution of coal seam gas content in Malin Mining Area,and the coal seam gas content has a high fitting linear relationship with the buried depth.The buried depth range when the gas content in the main coal seam is greater than 8 m^(3)/t is analyzed.The research results provide a basis for gas control and coalbed methane development in Malin Mining Area of Xishui County,and are conducive to ensuring safe production in Malin Mining Area of Xishui County.
作者 李春妍 罗远方 LI Chun-yan;LUO Yuan-fang(Chongqing Research Institute Co.,Ltd.,of China National Coal Science and Industry Corporation,Chongqing 400037,China;State Key Laboratory of Gas Disaster Monitoring and Emergency Technology,Chongqing 400037,China;Xishui Economic and Trade Bureau,Zunyi 564600,China)
出处 《煤》 2022年第5期23-26,共4页 Coal
基金 重庆市杰出青年科学基金资助项目(cstc2019jcyjjqX0019)。
关键词 瓦斯含量 瓦斯地质 线性回归 煤层埋深 马临矿区 gas content gas geology linear regression coal seam depth Malin Mining Area
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