A new method of seismic wavefield separation and denoising

Singular Value Decomposition (SVD) Filtering is one seismic data processing technique which uses the lateral coherence difference of the seismic wave to achieve wavefield separation and denoising. As the differences of propagation characteristics, apparent velocity and coherence in seismic signals, transformation of the valid signals may be transformed into those with better coherence by some mathematic transformations. In this paper, based on apparent velocities, throughing the processing method of two times Normal Moveout (NMO), we make the P-P wave and the P-S wave moveout respectively that enable them to achieve the best coherence on the deflection. The goal is that transforms the desired signal to one kind better processing territory in the horizontal upward coherence, then distinguishes two times SVD respectively and reconstruct signal with extracting the singular value of target signals. we might accomplish P-P wave and P-S wave separation as well as noise attenuation afterwards.