关键词: 煤层含气量, 多元逐步回归分析, 预测模型, 大佛寺井田

Abstract: Coal seam gas content is an important indicator for the evaluation of CBM constituency, and is also an important parameter for the calculation of CBM reserves. This paper takes the 4# coal seam of Dafosi minefield as an example, according to the test data of well field and borehole test data of CBM wells, through the correlation analysis to screen out the main control factors from many factors affecting gas content, and use multivariate stepwise regression method to combine the main control. The factors established the prediction model for coal gas content of the 4# coal seam, and the predicted values are basically consistent with the measured values. On this basis, the prediction of unknown gas-bearing boreholes and the preparation of the contour map of gas content of the 4# coal seam in Dafosi minefield provide important guidance for the evaluation and development of CBM resources in the study area.