Abstract: In order to serve the comprehensive evaluation of the WX block coalbed methane reservoir, it is necessary to do a good job in the calculation of the gas content of the coalbed methane reservoir.Based on the relevant literature research and gas content test analysis data, this paper first sorts out the advantages and limitations of the conventional calculation methods of coalbed methane content, and then comprehensively compares the commonly used intelligent algorithms in reservoir parameter prediction, and selects the ETO-SVM algorithm to calculate the gas content of the coalbed methane in the study area.This paper uses the ETO algorithm to efficiently and quickly find the global optimal solution and applies it to the SVM model, and finally outputs the prediction results of the gas content of the coalbed methane.The gas content calculation results of the ETO-SVM model are compared with the calculation results of the conventional methods and the support vector machine and random forest calculation results.The experimental results show that the ETO-SVM model has higher accuracy in the calculation of the gas content of coalbed methane.