Optimization of Log Interpretation Using Genetic Algorithm.
Zou Changchun, Wei Zhongliang, Chai Xiyuan et al
Genetic algorithm is a novel optimization mehtod with the characteristic of global optimization. It is used for multi parameter and nonlinear optimized data processing in log interpretation. The basic theory and operating rules of genetic algorithm are introduced in general, and the steps and procedures for optimized log interpretation are presented in particular. Simulating computation is performed with synthetic logging data generated from a forward model and a field example is given. Application results show that genetic algorithm is an efficient method in the optimization of log interpretation and has great application potential.