摘要
通过对淮南某勘探区1煤层瓦斯含量实测值与其对应测井响应值相关关系分析,构建复合评价参数,利用回归分析法建立瓦斯含量与复合参数之间的数学模型,对勘探区的煤层瓦斯含量进行超前预测,为瓦斯含量实际测定工作寻找异常目标区。实践结果表明:煤层瓦斯含量与所构建的复合参数高度相关,相关系数为0.95;利用数学模型求得的瓦斯含量准确性高,可为井下煤层开采过程中瓦斯含量评测提供参考,同时为煤田测井曲线资料再利用提供了1种新的有效手段。
Based on the analysis of the correlation between the measured value of gas content in the No.1 seam of a exploration area of Huainan and its corresponding log response value, the composite evaluation parameters are constructed, the mathematical model between the gas content and the composite parameters was established by using the regression analysis method, and the advance prediction of coal seam gas content in the exploration area was carried out, so that it is possible to find an abnormal target area for the actual measurement of the gas content. The results show that： the gas content of coal seam is highly correlated with the constructed parameters, and the correlation coefficient is 0.95; the accuracy of the gas content obtained by the mathematical model is high, which can provide reference for the evaluation of the gas content in the mining process of underground coal seam; at the same time, it provides a new and effective method for reusing coal mine logging data.
作者
李圣林
卜军
LI Shenglin;PU Jun(School of Earth and Environment,Anhui University of Science and Technology,Huainan 232001,China;Anhui Coal Geological Bureau,Hefei 230000,China)
出处
《煤矿安全》
CAS
北大核心
2018年第6期143-146,共4页
Safety in Coal Mines
基金
安徽省国土资源科技资助项目(2012-K-07)
关键词
测井曲线
复合参数
瓦斯含量
超前预测
回归分析
logging curve
compound parameter
gas content
advance prediction
regression analysis
