利用遗传算法实现最优化测井解释

Optimization of Log Interpretation Using Genetic Algorithm.

遗传算法是具有全局寻优特点的一种新型最优化方法。文章将遗传算法用于测井解释中，研究多参数、非线性最优化测井数据处理问题。简要地介绍了遗传算法的基本原理和运算规则，具体地描述了实现最优化测井解释的步骤和程序流程。利用正演模型合成的测井数据进行了模拟计算，并且给出了油田现场应用实例。结果表明，遗传算法在最优化测井解释中应用效果很好。

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.