Multi-attribute Seismic Comprehensive Interpretation and Application Technology Based on Support Vector Machine
Li Hang · Journal of Chongqing University of Science and Technology · 2011
This theme gives the process to predict reservoir parameters based on the support vector machine.We predictes the percentage of sandstone to mudstone,porosity and oil saturation of SZ36-1 by the support vector machine combined with seismic attributes which are optimizated by the Rough set theory as the input vector.The results show that the method has higher prediction accuracy to predict reservoir parameters.