遗传算法在地球物理中的应用进展

The Application Progress of the Genetic Algorithm in Geophysics

简要介绍了遗传算法的基本原理及实现步骤 ;论述了遗传算法在地震数据处理中的AVO波、速度参数、静校正 ,波阻抗等方面的应用状况 ;概述了该方法在重力、电法、测井及磁力等非地震勘探中的研究进展 ;最后讨论了遗传算法的优缺点 ,对遗传算法的发展及其在地球物理勘探中的进一步应用作了展望 .

Genetic algorithms is a novel optimization method with the characteristics of global optimization. Compared to the traditional local optimizing methods, the genetic algorithm is independent of the original model, searching more faster. In this paper, The basic theory and operating rules of genetic algorithm are introduced in general. In particular a range of applications in seismic data processing are reviewed, such as AVO, velocity correction, static correction, wave impedence. An overall description progress in gravity, magnetic method, EM and log data interpretation. Finally, merits and drawbacks of the genetic algorithm are discussed and a prospect is conducted on the development of genetic algorithm and further application in geophysical prospecting.