Abstract: In order to quantitatively research the coalbed methane content, taking No.22 coal seam in Maqiaobei-mazhuang coal-detailed survey area of Yongchen g Mining Area for a research object, this paper discussed the controlling factors of coal bed gas content by using quantitative analysis and grey relational analysis. Mea nwhile, based on the multiple factors static grey mode GM( 1, 4) , the authors established the forecast model of CBM content according with the study area, and compa red the results of GM( 1, 4) model and regression analysis.The results showed that the absolute error ranged from-1.06 to 1.62 m L/g between the predicted values of GM ( 1, 4) model and measured values.Furthermore, the absolute error of the coalbed gas content of the other three wells in the study area, which were predicted by G M( 1, 4) model, the absolute error was-1.29 ~ 0.97 m L/g.The GM ( 1, 4) model absolute error was superior to the multiple linear regression analysis model, which refle cted the accuracy of the prediction model to a certain extent. It establishes foundation to prediction of the coalbed gas content in deep and unknown regions.