Seismic Wavefield Separation and Denoising for P-P Wave and P-S Wave by Singular Value Decomposition (SVD)
详细信息
- 责任者：Shen Hongyan (School of Earth Sciences and Engineering ; Xi’an Shiyou University ; Xi’an 710065 ; China) ; Li Qingchun
- 刊名：Oil Geophysical Prospecting
- 出版年：2012
- 卷期：47(5)
- 关键词：波场分离 ; wavefield separate ; 去噪 ; denoising
- 页码：p.690-697
- 图表：3 illus., 24 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
As one of seismic data processing approaches,singular value decomposition (SVD) filter uses the lateral coherence difference of seismic signals to achieve wavefield separation and denoising.However,the propagation characteristics,apparent velocities and coherences are quite different between P-P wave and P-S wave.In this paper,an idea of SVD application is proposed.Based on apparent velocities information,the authors first apply normal moveout (NMO) processing respectively on P-P wave and P-S wave to align P-P wave and P-S wave into the best horizontal coherence.Then the authors extract reconstructed signals of singular values from target signals by SVD separately on P-P wave and P-S wave. Finally P-P wave and P-S wave separations as well as noise attenuation are obtained.