In the course of coalbed methane exploration and development, it is very important to make a more accurate prediction of gas content and its distribution. The authors collected, sorted and analyzed the exploration zone logging as well as coalbed gas test data and used multiple regression analysis method to establish the relationship between logging parameters and coalbed methane (CBM) content, predicted coalbed methane content and its distribution in the whole exploration area. The results show that the calculation of gas content in coal seam by multivariate regression method is fast, accurate, convenient and practical. The distribution trend of coalbed methane content provides reference for selecting favorable areas for coalbed methane exploration and development.