基于多元线性回归分析法的煤层气含量预测  

Content Predicting of CBM Based on Multiple Linear Regression Analysis Method

作　　者：张鹏[1] 王昆[1] 于涛[1] 赵明珍[1] 

机构地区：[1]河南省地质矿产勘查开发局第四地质矿产调查院,河南商丘476000

出　　处：《煤炭技术》2016年第11期112-115,共4页Coal Technology

摘　　要：含气量是煤层气选区评价、储量计算和影响井产能的重要参数。基于沁水盆地郑庄区块10口煤层气井含气量的测试结果,应用多元统计分析方法结合主要影响因素,探讨各因素对含气量的影响关系,建立了含气量的多元回归预测模型。Coal-bed methane（CBM） content is an important indicator in evaluating the constituency ot coal bed gas, calculation of coal bed gas reserves and the production of CBM wells. Taking Zhengzhuang block in the south of Qinshui basin for example, which is based on the measured results of 10 CBM wells in it, combining the factors which affect the content of CBM, to establish the forecast model of CBM content by using the way of multivariate geological statistical analysis

关 键 词：煤层气 含量 多元统计分析 

分 类 号：P618.13[天文地球—矿床学]