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《Progress in Exploration Geophysics》 2005-06
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Application of SVM in prediction of reservoir thickness.

Zhang Yanzhou, Liu Yeling, Xie Baoying. Department of Basic Course, Xi' an University of Science & Technology,Xi'an 710054, China  
This paper presents a new approach to predict reservoir thickness from seismic attributes and well information through support vector machine (SVM). Geological information at different depth was described by introducing a mixed window kernel function to SVM. Results from the proposed method and BP neural network show that the method can avoid the problem of local optimal solution of BP network, and obtain the estimation of thickness with higher precision.
【CateGory Index】: P631.81
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