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.
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This research work was sponsored by the major science and technology special topic of CNPC (No. 2013E-38-08).
Cao Zhong-Lin received his Master’s degree from China University of Geosciences in 2007. He is currently a Senior Engineer in the BGP. His research interests are seismic signal processing and software development.
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Cao, ZL., Cao, JX., Wu, FR. et al. Mixed Cadzow filtering method in fractional Fourier domain. Appl. Geophys. 15, 271–279 (2018). https://doi.org/10.1007/s11770-018-0677-6
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DOI: https://doi.org/10.1007/s11770-018-0677-6