Mixed Cadzow filtering method in fractional Fourier domain
Cao Zhong-Lin1,2,3, Cao Jun-Xing1, Wu Fu-Rong2,3, He Guang-Ming2,3, Zhou Qiang2,3, and Wu Yu-Lin2,3
1. Chengdu University of Technology, Chengdu, Sichuan 610059, China.
2. Research and Development Center, BGP Inc., CNPC, Zhuozhou, Hebei 072750, China.
3. Mountain Geophysical Technology Test Center, CNPC, Chengdu, Sichuan 610213, China.
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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