Abstract: Abstract: In different coal types, the logging curves of compensating density and acoustic time shows the different response of characteristics due to the different physical properties such as industrial components, density and porosity. And the ratio of expanding diameter in the process of drilling is also different due to the different intensity of coal and rock. 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 the study found that this method is not affected by man-made factors and its accuracy is very high. The relationship between the density and industrial components is close, combining the logging multiple regression model and the equivalent volume model, calculated the result of density and porosity of coal, and also calculated the respective industrial components content of coal based on the relationship between the density and industrial components.This method is based on a lot of experimental data, which combined the theoretical model and actual statistical model, so its result is reliable and feasible in practice.