The Research on Local Slope Constrained Least-Squares Migration
详细信息
- 责任者：Liu Yujin (Department of Geophysics ; School of Geosciences ; China University of Petroleum ; Qingdao 266555 ; China) ; Li Zhenchun
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(3)
- 关键词：地震偏移 ; seismic migration ; 最小二乘法 ; least-squares methods
- 页码：p.1003-1011
- 图表：illus., 20 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
As the difficulty of oil exploration increases,the phenomenon of irregular sampling and missing traces often exits in seismic data,which will introduce imaging noise without special data processing.In order to solve the problem,the conventional method is implementing seismic trace interpolation or data regularization to pre-stack data before imaging with conventional migration.In this paper,seismic imaging is considered as least-squares inverse problem,with constraints of smoothing operator in common image gathers and plane-wave constructor in common offset/angle gathers,to obtain an artifact-reduced seismic image by iteratively minimizing the difference between de-migrated data and input data with preconditioning conjugate gradient method.Experimental results on theoretical model and seismic field data show that the proposed method can suppress the imaging noise introduced by data irregularity thus providing a more accurate image.
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