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Elastic full waveform inversion (EFWI) in VTI media using velocity model-based parameterization (PARM-VTIEFWI) can improve the sensitivity of anisotropic parameters, but there are still the problems of gradient’s interference and Nonunique. Research has shown that logging data can constrain the Non-unique of FWI. Therefore, in this paper, we use the logging data as a constraint to limit the Non-unique of the PARM-VTIEFWI. We derive the objective function and gradient equation for the PARM-VTIEFWI based on the constraint of logging information. In addition, to reduce the interference between the gradients of parameters in VTI media, we incorporate a pseudo-Hessian matrix to precondition the gradients and derive a gradient preconditioning formula based on the pseudo-Hessian matrix in this paper. In summary, we propose a new PARM-VTIEFWI method based on logging information constraint and gradient precondition, which reduces the interference between the parameter gradients and constrains the Non-unique of the inversion. The correctness and validity of the method were demonstrated by examples.
Wydawca
Czasopismo
Rocznik
Tom
Strony
1665--1676
Opis fizyczny
Bibliogr. 35 poz.
Twórcy
autor
- School of Geosciences, Laboratory of Seismic Wave Propagation and Imaging, China University of Petroleum (East China), Beijing, China
- Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
- Geophysical Research Institute of Sinopec Shengli Oilfeld Corporation, Harbin 257022, China
autor
- School of Geosciences, Laboratory of Seismic Wave Propagation and Imaging, China University of Petroleum (East China), Beijing, China
- Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
autor
- School of Geosciences, Laboratory of Seismic Wave Propagation and Imaging, China University of Petroleum (East China), Beijing, China
- Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
autor
- Geophysical Research Institute of Sinopec Shengli Oilfeld Corporation, Harbin 257022, China
autor
- School of Geosciences, Laboratory of Seismic Wave Propagation and Imaging, China University of Petroleum (East China), Beijing, China
- Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
autor
- School of Geosciences, Laboratory of Seismic Wave Propagation and Imaging, China University of Petroleum (East China), Beijing, China
- Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
Bibliografia
- 1. Aghamiry HS, Gholami A, Operto S (2019a) ADMM-based multiparameter wavefield reconstruction inversion in VTI acoustic media with TV regularization. Geophys J Int 219(2):1316–1333
- 2. Aghamiry HS, Gholami A, Operto S (2019b) Compound regularization of full-waveform inversion for imaging piecewise media. IEEE Trans Geosci Remote Sens 58(2):1192–1204
- 3. Alkhalifah T, Plessix RE (2014) A recipe for practical full-waveform inversion in anisotropic media: an analytical parameter resolution study. Geophysics 79:R91–R101
- 4. Asnaashari A, Brossier R, Garambois S, Audebert F, Thore P, Virieux J (2013) Regularized seismic full waveform inversion with prior model information. Geophysics 78(2):R25–R36
- 5. Barnes C, Charara M, Tsuchiya T (2008) Feasibility study for an anisotropic full waveform inversion of cross-well data. Geophys Prospect 56(6):897–906
- 6. Bozdağ E, Trampert J, Tromp J (2011) Misfit functions for full waveform inversion based on instantaneous phase and envelope measurements. Geophys J Int 185:845–870
- 7. Brossier R, Operto S, Virieux J (2009) Seismic imaging of complex onshore structures by 2D elastic frequency- domain full-waveform in-version. Geophysics 74:WCC105–WCC118
- 8. Chen K, Mauricio D (2017) Elastic least-squares reverse time migration via linearized elastic full-waveform inversion with pseudo-Hessian preconditioning. Geophysics 82:S341–S358
- 9. Choi Y, Alkhalifah T (2012) Application of multi-source waveform inversion to marine streamer data using the global correlation norm. Geophys Prospect 60:748–758
- 10. Choi Y, Min D-J, Shin C (2018) Frequency-domain elastic full waveform inversion using the new pseudo-Hessian matrix: experience of elastic Marmousi-2 synthetic data. Bull Seismol Soc Am 98(5):2402–2415
- 11. Dutta G, Sinha M, Schuster GT (2014) A cross-correlation objective function for least-squares migration and visco-acoustic imaging. In: 84th annual international meeting, SEG, Expanded Abstracts, pp 3985–3990
- 12. Gholami Y, Brossier R, Operto S, Ribodetti A, Virieux J (2013) Which parametrization is suitable for acoustic VTI full-waveform inversion? Part 1: sensitivity and trade-off analysis. Geophysics 78(2):R81–R105
- 13. Kamath N, Tsvankin I (2016) Elastic full-waveform inversion for VTI media: methodology and sensitivity analysis. Geophysics 81:C53–C68
- 14. Lee H, Koo J, Min D, Kwon B, Yoo H (2010) Frequency-domain elastic full waveform inversion for VTI media. Geophys J Int 183(2):884–904
- 15. Operto S, Gholami Y, Prieux V, Ribodetti A, Brossier R, Metivier L, Virieux J (2013) A guided tour of multiparameter full-waveform inversion with multicomponent data: from theory to practice. Lead Edge 32(9):1040–1054
- 16. Plessix RE, Mulder WA (2004) Frequency-domain finite-difference amplitude-preserving migration. Geophys J Int 157:975–987
- 17. Pratt RG, Shin C, Hick GJ (1998) Gauss-Newton and full Newton methods in frequency–space seismic waveform inversion. Geophys J Int 133:341–362
- 18. Pratt RG, Smithyman B (2018) Full waveform inversion for density: Reciprocity, divergence, parameter resolution, and other issues. In: 80th EAGE conference and exhibition, extended abstracts, pp 1–5
- 19. Prieux V, Brossier R, Operto S, Virieux J (2013) Multiparameter full waveform inversion of multicomponent ocean-bottom-cable data from the Valhall field. Part 2: imaging compressive-wave and shear-wave velocities. Geophys J Int 194(3):1665–1681
- 20. Qin N, Wang YG, Yang XD (2015) Analysis of influencing factors and exploration of well constrained for full waveform inversion in the time domain. Prog Geophys (in Chinese) 30:0210–0216
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- 22. Shin C, Jang S, Min DJ (2001) Improved amplitude preservation for prestack depth migration by inverse scattering theory. Geophys Prospect 49:592–606
- 23. Singh S, Ilya T, Ehsan ZN (2018) Bayesian framework for elastic full-waveform inversion with facies information. Lead Edge 37:924–931
- 24. Singh S, Ilya T, Ehsan ZN (2020b) Full-waveform inversion for elastic VTI media with borehole constraints. Geophysics 85:R553–R563
- 25. Singh S, Ilya T, Ehsan ZN (2021a) Elastic FWI for orthorhombic media with lithologic constraints applied via machine learning. Geophysics 86:1–86
- 26. Singh S, Ilya T, Ehsan ZN (2021b) Facies-based full-waveform inversion for anisotropic media: a North Sea case study. Geophys Prospect 69:1650–1663
- 27. Singh S, Ilya T, Ehsan ZN (2020a) Elastic full-waveform inversion with geologic information for tilted TI media. In: 82nd annual conference and exhibition, EAGE, extended abstracts, pp 1–5
- 28. Tarantola A (1984) Inversion of seismic reflection data in the acoustic approximation. Geophysics 49:1259–1266
- 29. Tarantola A (1986) A strategy for nonlinear elastic inversion of seismic reflection data. Geophysics 51:1893–1903
- 30. Virieux J, Operto S (2009) An overview of full-waveform inversion in exploration geophysics. Geophysics 74:WCC127–WCC152
- 31. Wang X, Ilya T (2013) Multiparameter TTI tomography of P-wave reflection and VSP data. Geophysics 78:WC51–WC63
- 32. Zabihi NE (2015) Image- and horizon-guided interop-lation. Geophysics 80:V47–V56
- 33. Zhang Z, Alkhalifah T (2018) Multiparameter elastic full-waveform inversion with facies-based constraints. Geophys J Int 21:2112–2127
- 34. Zhang Z, Alkhalifah T (2019) Regularized elastic full-waveform inversion using deep learning. Geophysics 84:R741–R751
- 35. Zhang Z, Alkhalifah T (2020) High-resolution reservoir characterization using deep learning-aided elastic full- waveform: the North Sea field data example. Geophysics 85:WA137–WA146
Typ dokumentu
Bibliografia
Identyfikator YADDA
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