The author established a logging parameter identification standard of high rank coal and adopted the grey correlation method to explain the type of coal quantitatively,through statistical analysis of a large number of coring well data,and found that this method was not affected by man-made factors and was of high accuracy.As the coal rock density was closely related to industrial components,combining the logging multiple regression model with equivalent volume model,the density and porosity of coal were calculated,and the respective industrial components content of coal was also calculated based on the relationship between density and industrial components.This method is based on mass experimental data,which combines the theoretical model and actual statistical model,its result is reliable and feasible in practice.%通过大量取心井资料的统计分析,建立了高煤阶煤岩的测井多参数识别标准,并采用灰色关联法定量解释煤岩的类型,不受人为因素影响,准确率高.高煤阶煤岩的密度与工业组分含量之间关系密切,把测井多元回归模型和等效体积模型结合,计算出了煤岩的密度和孔隙度,并在此基础上计算出煤岩各工业组分的含量.该方法是在大量实验数据基础上,把理论模型与实际统计模型结合建立起来的方法,其结果比较可靠,并且在实际操作中可行.
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