Seismic wavefield separation and denoising for P-P wave and P-S wave by singular value decomposition(SVD)
Shen Hong-yan1,2,4, Li Qing-chun3
1. School of Earth Sciences and Engineering,Xi'an Shiyou University,Xi'an, Shaanxi 710065, China;
2. Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,China University of Geosciences
Abstract：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,a new idea of SVD application is proposed.Based on apparent velocities information,we 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 we 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.
沈鸿雁, 李庆春. 奇异值分解地震纵、横波波场分离与去噪方法[J]. 石油地球物理勘探, 2012, 47(5): 690-697.
Shen Hong-yan, Li Qing-chun. Seismic wavefield separation and denoising for P-P wave and P-S wave by singular value decomposition(SVD). OGP, 2012, 47(5): 690-697.
