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《Journal of Xi'an University of Science and Technology》 2008-04
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Prediction of coalbed gas content based on support vector machine regression

LIAN Cheng-bo1,ZHAO Yong-jun1,LI Han-lin1,QU Fang1,CAI Fu-long2,ZHANG Jun-tao3(1.School of Earth Resources and Information,Petroleum University,Shandong 257061,China;2.Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;3.Dept.of Earth Science,Nanjing University,Nanjing 210093,China)  
Support vector machine regression was proposed to predict coalbed gas content based on well logging data.The model of correlation between coalbed gas content and well logging parameters was established based on support vector machine regression.The model was used to predict coalbed gas content.The practical application shows that the error between predicted results and those analyzed by sample test is small.
【Fund】: 国家重点基础研究规划项目(973项目)(2002CB211702)
【CateGory Index】: TD84
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