A new Method of Seismic Wavefield Separation and Denoising

摘要：

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.

关键词： Seismic data processing Normal Moveout (NMO) Singular Value Decomposition (SVD) P-P wave P-S wave Wavefield separation and denoising

作者: Hong-yan Shen Qing-chun Li

作者单位: School of Petroleum Resources Xian Shiyou University Xian,China College of Geology Engineering and Geometics ChangAn University Xian,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 107-110

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）