Serial Fusion Algorithm of Group PSO and Maximum Energy Method for Converted-Wave Static Correction
详细信息
- 责任者：Liu Cai (College of Geoexploration Science and Technology ; Jilin University ; Changchun 130026 ; China) ; Lu Yongxu
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(1)
- 关键词：静校正 ; static correction ; 转换波 ; converted waves
- 页码：p.239-245
- 图表：illus., 12 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
Estimation of converted wave statics is a tricky,nonlinear problem.Those statics methods used in estimation of P-wave statics can hardly solve converted-wave static problem.PSO(Particle Swarm Optimization) is a good nonlinear global optimization method,yet "premature" is its weakness.The maximum energy method is a conventional statics method.The efficiency and strong local search ability is its advantage.However,when the record contains large statics,this method is easy to sink into the local minima.In this paper we develop a improved PSO method: Group PSO,which is based on the standard PSO.The experiment finding the minima of Rastrigin function using the Group PSO shows it has better global optimization ability than standard PSO.In order to solve the converted wave statics problem,we fuse the Group PSO and maximum energy method serially.Finally,we build a model which contains a horizontal reflector and obtain the synthetic seismogram in which we add a series of random values as receiver statics.Then we attempt to resolve the converted wave statics correction problem using the serial fusion algorithm,standard PSO and maximum energy method.The result shows that the statics from serial fusion algorithm are more accurate and the continuity of stack section using these statics is very good.