Since the coring data and indoor test data of deep coal seam are few，it is difficult to identify the key parameters of coal seam structure，maceral，gas content and permeability，which is not conducive to the prediction of favorable coalbed methane development zones. To solve this problem，the logging data were compared with the laboratory test data and the injection pressure drop testing data using the mathematical statistics method to compare. The log interpretation model of coal reservoir parameters was established and applied to further coal seam evaluation in the study area. The results show that the errors resulted from the logging model computation of components of coal industry，coalbed methane content and permeability logging are 0~13.8%，1.9%~16.5% and 4.2%~28.6%，respectively. The model is effective and reliable and has a good application prospect. The geological parameters of coal seam thickness，permeability，gas content and coal seam structure in the study area were calculated. On this basis，the coal seam was divided into class Ⅰ，Ⅱ and Ⅲ. The theoretical gas production is higher than 1 000 m3/d in the class I which is a high yield gas area；the theoretical gas production is between 500 and 1000 m3/d in the class Ⅱ which is a medium gas producing area；and the theoretical gas production is less than 500 m3/d in the class Ⅲ which is a low production area.