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Three-dimensional seismic exploration has been widely used to produce subsurface images for oil and gas. As one of the most commonly used multiple attenuation methods, 2D Radon transform cannot describe the three-dimensional wave-fields in realistic subsurface conditions. Conventional 3D Radon transform assumes that the properties of the medium are the same, or approximately the same, in all directions. The time slice of seismic data will be a standard ellipse, and its focal points are located at survey lines. However, In the case of complex geology, the medium may have different property in different directions. And the time slice of acquired 3D seismic data becomes a deflected ellipse, and its focal points are no longer located on the survey lines. Conventional 3D Radon transform based on standard ellipse can no longer describe seismic data accurately. A rotating ellipse model parameter is introduced to 3D Radon transform to describe seismic data in complex areas. The three-parameter 3D Radon transform based on rotating ellipse model is derived in detail. However, the operator matrix in the new formula is huge due to the introduced variable, and it cannot be decomposed into small matrices, leading the computation cost to be considerably high. The frequency and curvature are merged into one new parameter to deal with the low computational efficiency problem. The corresponding fast algorithm is also derived. The application of synthetic and real data examples shows that the proposed method can describe complex seismic data more accurately, and the method can attenuate multiples in complex cases much better.
Wydawca
Czasopismo
Rocznik
Tom
Strony
177--193
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
- State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum, Beijing, People’s Republic of China
Bibliografia
- 1. Abbad B, Ursin B, Porsani MJ (2011) A fast, modified parabolic Radon transform. Geophysics 76(1):V11-V24
- 2. Beylkin, G., Discrete Radon transform: IEEE Trans. on Acoustics, Speech and Signal Processing, 1987, AASP-35(2), 162-172.
- 3. Donati, M. S., and N. W. Martin, Seismic reconstruction using a 3D tau-p transform: CREWES Research Report, 1995, 7, 111-1116.
- 4. Hampson D (1986) Inverse velocity stacking for multiple elimination. J Can Soc Explor Geophys 22:44-55
- 5. Hugonnet, P., J. L. Boelle, and M. Mihoub, High resolution 3D parabolic Radon filtering: 78th Annual International Meeting, SEG, Expanded Abstracts, 2008: 2492-2496
- 6. Hugonnet, P., J. L. Boelle, M. Mihoub and P. Herrmann, High Resolution 3D parabolic Radon filtering, 71st Annual International Conference and Exhibition Incorporating SPE EUROPEC, EAGE, Extended Abstracts, 2009
- 7. Li ZN, Li ZC, Wang P et al (2013) Multiple attenuation using X-f domain high-resolution Radon transform. Appl Geophys 10(4):433-441
- 8. Ma J, Guoyang Xu et al (2020) Multiple attenuation with 3D high-order high-resolution parabolic Radon transform using lower frequency constraints. Geophysics 85(3):V317-V328
- 9. Sun WZ, Li ZC, Qu YM et al (2019) Multiple attenuation using X-f domain high-order and high-resolution Radon transform based on SL0 norm. Appl Geophys 16(4):473-482
- 10. Wenzhi Sun, Zhenchun Li, and Yingming Qu, The 3D conical Radon transform for seismic signal processing. Geophysics, 2022, 0: 1-74.
- 11. Tang, H. H., and W. J. Mao, Amplitude preserved seismic data reconstruction by 3D high-order parabolic Radon transform: Chinese Journal of Geophysics — Chinese Edition, 2014, 57(9): 2918-2927
- 12. Cao Weiping and Warren S. Ross, High-resolution 3D tau-p transform by matching pursuit, 87th Annual International Meeting, SEG, Expanded Abstracts, 2017: 4302-4306
- 13. Zhang YQ, Lu WK (2014) 2D and 3D prestack seismic data regularization using an accelerated sparse time-invariant Radon transform. Geophysics 79(5):V165-V177
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4e73ce3b-d22b-4e71-aec9-a55935bcf580