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Reverse time migration (RTM) artifacts usually start to appear in large refection angles which include a wide-angle range. On the other hand, the only proposed starting refection angle for RTM artifacts is 60 degrees which is not based on a proven investigation and it seems to be just a suggestion based on trial and error. As an important issue, we determine a predominant starting refection angle (PSRA) for RTM artifacts which enables us to suppress artifacts properly. Therefore, frst we try to open and discuss some issues from a new fundamentally perspective about the number of cross-correlations (NOCC) and its relationship with RTM amplitude and artifacts at refection and nonrefection points. Second, the cross-correlation and its related NOCC at each subsurface position form a new approach to determine PSRA for RTM artifacts. Using NOCC values, the refection angle of 55 degrees was determined as PSAR at which the RTM artifacts often start to appear. Finally, a new imaging condition based on the down- and upgoing wave felds and a new weighting function were proposed to suppress RTM artifacts. The new imaging condition can maintain the desired information and suppress artifacts properly for the angle domain of 55° to 90°. A key point in the suppressing process is the direct relationship between refection angle and artifact production where each refection angle in the domain of 55° to 90° can produce a diferent amount of artifacts. Therefore, the proposed imaging condition is able to designate a suitable weight for each refection angle to properly maintain the desired amplitude and suppress artifacts.
Wydawca
Czasopismo
Rocznik
Tom
Strony
529--538
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
- Department of Mining Engineering, Faculty of Engineering, Lorestan University, Khoramabad, Iran
Bibliografia
- 1. Araujo ES, Pestana RP, dos Santos AWG (2014) Symplectic scheme and the poynting vector in reverse-time migration. Geophysics 79(5):1–10
- 2. Baysal E, Kosloff DD, Sherwood JWC (1983) Reverse-time migration. Geophysics 48:1514–1524
- 3. Billette FJ, Brandsberg-Dahl S (2005) The 2004 BP velocity benchmark: 67th annual EAGE meeting. EAGE, Expanded abstracts, p B305
- 4. Claerbout, JF (1985), imaging the earth’s interior: Blackwell Scientific Publications.
- 5. Costa JC, Silva FA, Alcantara MR, Schleicher J, Novais A (2009) Obliquity-correction imaging condition for reverse time migration. Geophysics 74(3):57–66
- 6. Etgen J, Gray SH, and Zhang Y, (2009) An overview of depth imaging in exploration geophysics: Geophysics, 74(6):WCA5–WCA17.
- 7. Fernandez, AB, (2010), Subsalt seismic imaging illumination study, M.Sc. thesis. University of Houston.
- 8. Liu F, Zhang G, Morton SA, Leveille JP (2011) An effective imaging condition for reverse-time migration using wavefield decomposition. Geophysics 76:S29–S39
- 9. Liu S, Yan Z, Gu H, Tang Y, Liu C (2019) Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy. Geophys Prospect 67:496–507
- 10. McMechan GA (1983) Migration by extrapolation of time-dependent boundary values. Geophys Prospect 31:413–420
- 11. Moradpouri F, Moradzadeh A, Pestana RC, Soleimani Monfared M (2017a) An improvement in RTM method to image steep dip petroleum bearing structures and its superiority to other methods. J Mining Environ 8(4):573–578
- 12. Moradpouri F, Moradzadeh A, Pestana RC, Ghaedrahmati R, Soleimani Monfared M (2017b) An improvement in wavefield extrapolation and imaging condition to suppress reverse time migration artifacts. Geophysics 82:S403–S409
- 13. SMAART JV Consortium, (2001), Sigsbee2A model by Subsalt Multiple Attenuation And Reduction Technology Joint Venture.
- 14. Whitmore DN (1983) Iterative depth imaging by back time propagation: 53rd annual international meeting. SEG, Expanded abstracts, pp 382–385
- 15. Yan, R, (2013), Acoustic and elastic reverse-time migration: novel angle-domain imaging conditions and applications. PhD thesis, University of California.
- 16. Yoon K, Marfurt K (2006) Reverse-time migration using the Poynting vector. Explor Geophys 37:102–107
- 17. Yoon K, Marfurt K, Starr EW (2004) Challenges in reverse-time migration: 74th Annual International Meeting. SEG, Expanded Abstracts, pp 1057–1060
- 18. Zhang Y, Xu S, Tang B, Bai B, Huang Y, Huang T (2010) Angle gathers from reverse time migration. Lead Edge 29(11):1364–1371
- 19. Zhang D, Fei TW, Luo Y (2018) Improving reverse time migration angle gathers by efficient wavefield separation. Geophysics 83:S187–S195
- 20. Zheng Y, Wang Y, Chang X (2018) 3D forward modeling of upgoing and downgoing wavefields using Hilbert transform. Geophysics 83:F1–F8
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2cc5b584-5cbe-44c8-8b3a-dad8f169e910