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- Title
Mixed Cadzow filtering method in fractional Fourier domain.
- Authors
Cao, Zhong-Lin; Cao, Jun-Xing; Wu, Fu-Rong; He, Guang-Ming; Zhou, Qiang; Wu, Yu-Lin
- Abstract
Conventional frequency domain singular value decomposition (SVD) filtering method used in random noise attenuation processing causes bending event damage. To mitigate this problem, we present a mixed Cadzow filtering method based on fractional Fourier transform to suppress random noise in 3D seismic data. First, the seismic data is transformed to the time-frequency plane via the fractional Fourier transform. Second, based on the Eigenimage filtering method and Cadzow filtering method, the mixed high-dimensional Hankel matrix is built; then, SVD is performed. Finally, random noise is eliminated effectively by reducing the rank of the matrix. The theoretical model and real applications of the mixed filtering method in a region of Sichuan show that our method can not only suppress noise effectively but also preserve the frequency and phase of effective signals quite well and significantly improve the signal-to-noise ratio of 3D post-stack seismic data.
- Subjects
FOURIER transforms; SINGULAR value decomposition; ATTENUATION (Physics); HANKEL functions; SEISMIC response
- Publication
Applied Geophysics: Bulletin of Chinese Geophysical Society, 2018, Vol 15, Issue 2, p271
- ISSN
1672-7975
- Publication type
Article
- DOI
10.1007/s11770-018-0677-6