Pre-Stack AVO Inversion Based on the Differential Evolution Algorithm
详细信息
- 责任者：Yin Xingyao (School of Geosciences ; China University of Petroleum ; Qingdao 266555 ; China) ; Kong Shuanshuan
- 刊名：Oil Geophysical Prospecting
- 出版年：2013
- 卷期：48(4)
- 关键词：AVO技术 ; AVO techniques ; 反演问题 ; inverse problem
- 页码：p.591-596
- 图表：11 illus., 19 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
As the conventional linear iteration inversion algorithm highly depends on the initial model and may easily lead the solution to be trapped into local optimal solution,this paper studies a pre-stack inversion method on the basis of the differential evolution algorithm.The differential evolution algorithm makes use of simple mutation operations based on difference and one-to-one competitive survival strategies.The algorithm is not strongly dependent on the initial models and has strong global convergence ability,simple operations and fast calculation speed.All these advantages make it an effective technical means to solve complex optimization problems.In view of pre-stacked seismic inversion problems,an objective function is established based on Bayesian theory with the combination of the likelihood function and prior constraint information.Then the initial model is optimized constantly by the differential evolution algorithm until the objective function reaches the global optimum.Model trial indicates that the method is reliable,and also displays weak dependency on the initial model and good global converge ability.Inversion results with high resolution are obtained by applying it to real pre-stacked gathers.
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