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《Coal Technology》 2018-01
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Prediction of Gas Content in Coal Seam of Linxing Block

JIANG Tao;DANG Guang-xing;MENG Shang-zhi;FAN Xu;Oil Production Services Branch,CNOOC Energy Technology and Services Limited;School of Resource and Earth Science,China University of Mining and Technology;China United Coal Bed Methane Corporation Ltd.;  
The study results show that the prediction error of regression analysis and composite exponential regression was large,especially for low gas-bearing coal seam,which is relate to the sensitivity of logging parameter choose.The prediction result of the KIM equation is saturated state,and BP neural network model is higher precision and less errors.In general,there is a complex non-linear relationship between gas content and logging parameters,and modern mathematics method will be the main method to predict the gas content.
【Fund】: 国家科技重大专项资助项目(2016ZX05044)
【CateGory Index】: P618.13
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