The well-logging response rule of coal reservoir was determined through the analysis on the well-logging characteristic of well-A in PS mining area.Based on this,a series of experiments were designed and conducted on the large number of core samples from well-A,including the experiment measurement of industrial component,porosity,gas content,density and acoustic velocity parameters,and then the density and acoustic velocity of fixed carbon,ash and volatile matter were calibrated applying the enumeration method,which laid the foundation of establishing accurate well-logging response model.The coal reservoir interpretation models of industrial content,gas content and porosity were developed utilizing the combination of statistical analysis and theoretical model,which made this research full targeted and reliable.In addition,the coal reservoir well-logging interpretation software is programmed according to the research achievements and it achieves good results in practical applications.%通过对PS矿区A井测井相应特征分析,确定了煤储层测井响应规律；并在此基础上对该井大量煤样的工业组分、孔隙度、含气量以及密度和声波速度等参数的实验测定.采用枚举法标定出了固定碳、灰分、挥发分各工业组分的密度和声波速度值,为建立准确的测井响应方程奠定了基础.统计分析法与理论模型法相结合,建立了煤储层工业组分、含气量、孔隙度解释模型,既利用了目标区的实验数据；理论上依据充分,针对性强,结果准确可靠.根据研究成果编制了完善的煤储层测井综合解释软件系统,在实际应用中取得了良好的效果.
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