Chaos genetic algorithm—a new approach used in prediction of oil/gas reservoir
Zhang Hui-zhen1,2,3,4, Wang Shan-shan1, Ma Liang1
1. P. O Box 386, Doctor 2005, College of Management;
2. University of Shanghai for Science and Technology, No. 516, Jungong Road, Yangfu District, Shanghai City, 200093, China
Abstract：The paper discussed the failures of using BP neural network to carry out prediction of oil/gas reservoir and limitations of optimizing the connection weights of neural network in genetic algorithm. Combining with the idea of scalevariable chaos searching strategy,a new hybrid genetic algorithm—chaos genetic algorithm is formed. The algorithm can optimize not only the initial population of genetic algorithm,choosing optimum population,but also the genetic study process,significantly reducing the searched space of genetic algorithm,increasing the computational efficiency of initial weights of optimized neural network in genetic algorithm and improving the property of genetic algorithm. The approach uses respective advantages of scalevariable chaos optimum algorithm and genetic algorithm. Using the new hybrid genetic algorithm for prediction of oil/gas reservoir achieved better results.
张惠珍, 王山山, 马良. 混沌遗传算法——一种用于油气预测的新方法[J]. 石油地球物理勘探, 2006, 41(6): 651-655.
Zhang Hui-zhen, Wang Shan-shan, Ma Liang. Chaos genetic algorithm—a new approach used in prediction of oil/gas reservoir. OGP, 2006, 41(6): 651-655.
