天然气工业2009，Vol.29Issue(11)：34-37,4.DOI:10.3787/j.issn.1000-0976.2009.11.010
混合智能优化地震反演
Seismic inversion of hybrid intelligent optimization
吴秋波 1吴元 2曹中林 2黄东山2
作者信息
- 1. 成都理工大学能源学院
- 2. 川庆钻探工程公司地球物理勘探公司
- 折叠
摘要
Abstract
The conventional non-linear seismic inversion methods are low in convergence and sometimes will result in the problem of local extremum. To solve these problems, we developed a non-linear seismic inversion of hybrid intelligent vptimiza-tion with the particle warm optimization algorithm and the Guo's algorithm integrated. The particle warm algorithm is charac-terized by higher objective in solution upgrading and rapid convergence, while the Guo's algorithm constructs a multi-parent combination crossover and adopts a colony mountain climbing search strategy, thus is high in accuracy of solution. The hybrid intelligent algorithm uses the particle warm optimal algorithm as the framework and takes advantage of the optimization mecha-nism of the Guo's algorithm. We performed function optimization test, trial calculation with the theoretical model and real data inversion processing. The results show that this method has the advantages of high efficiency and strong capacity of global opti-mization, thus is suitable for complex seismic inversion.关键词
地震数据处理/粒子群优化算法/郭涛算法/混合智能优化/地震反演Key words
seismic data processing/particle swarm optimal algorithm/Guo's algorithm/hybrid intelligent optimization/seismic inversion分类
天文与地球科学引用本文复制引用
吴秋波,吴元,曹中林,黄东山..混合智能优化地震反演[J].天然气工业,2009,29(11):34-37,4.
