Preconditioned reflection full waveform inversion for subsalt imaging
- Chao Wang (ION) | Paul Farmer (ION) | Tristram Burley (ION) | Carlos Calderon (ION) | Ian Jones (ION) | John Brittan (ION)
- Document ID
- Society of Exploration Geophysicists
- SEG International Exposition and Annual Meeting, 15-20 September, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Exploration Geophysicists
- Full-waveform inversion, Reflection, Optimization, Subsalt, Wave propagation
- 0 in the last 30 days
- 8 since 2007
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Reflection full waveform inversion (RFWI) has become an effective tool to generate low-wavenumber deep model updates using reflection energy and to improve seismic imaging, especially in subsalt areas. However it is still a challenging inverse problem that suffers from local minima issues and strong artifacts from the tomographic kernel. To tackle the cycles kipping problem, we propose a local traveltime based objective function that focuses on correcting the kinematic errors between the field and synthetic data and derive a new calculation of the gradient from forming an adjoint source that is less likely to cycle-skip, instead of simply minimizing the data residual for a least squares (LS) objective function. The potential benefit is to generate a deeper reliable low-wavenumber update with reflected energy, when missing a good starting background model and low-frequency data. To mitigate the strong artifact from the tomographic kernel from RFWI while satisfying the requirement for Born assumptions, we design a preconditioned optimization scheme which improves the convergence rate with less artifacts and provides a better initial model for applying conventional FWI in the following step. The proposed workflow will eventually generate high-fidelity earth models for seismic imaging and interpretation.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 2:40 PM
Presentation Type: Oral
|File Size||3 MB||Number of Pages||5|
Biondi,B., andA.Almomin,2014,Simultaneous inversion of full data bandwidth by tomographic full waveform inversion:Geophysics,79,no.3,WA129–WA140, doi:10.1190/geo2013-0340.1.
Huang,H.,W.Symes, andR.Nammour,2016,Matched source waveform inversion: Volume extension:86th Annual International Meeting,Expanded Abstracts,1364–1368, doi:10.1190/segam2016-13954250.1.
Hudson,J., andJ.Heritage,1980,The use of the born approximation in seismic scattering problems:Geophysical Journal of the Royal Astronomical Society,66,221–240, doi:10.1111/j.1365-246X.1981.tb05954.x.
Luo,Y.,Y.Ma,Y.Wu,H.Liu, andL.Cao,2016,Full-traveltime inversion:Geophysics,81,no.5, doi:10.1190/geo2015-0353.1.
Luo,Y., andG.Schuster,1991,Wave-equation traveltime inversion:Geophysics,56,645–653, doi:10.1190/1.1443081.
Shen,P., andW.Symes,2008,Automatic velocity analysis via shot profile migration:Geophysics,73,no.5,VE49–VE59, doi:10.1190/1.2972021.
Tarantola,A.,1984,Inversion of seismic reflection data in the acoustic approximation:Geophysics,49,1259–1266, doi:10.1190/1.1441754.
Van Leeuwen,T., andF.Hermann,2013,Mitigating local minima in full-waveform inversion by expanding the search space:Geophysical Journal International,195,661–667, doi:10.1093/gji/ggt258.
Vigh,D.,K.Jiao,X.Cheng,D.Sun, andW.Lewis,2016,Earth-model building from shallow to deep with full waveform inversion:The Leading Edge,35,1025–1030, doi:10.1190/tle35121025.1.
Virieux,J., andS.Operto,2009,An overview of full waveform inversion in exploration geophysics:Geophysics,74,no.6,WCC1–WCC26, doi:10.1190/1.3238367.
Wang,C.,D.Yingst,P.Farmer, andJ.Leveille,2016,Full waveform inversion with the reconstructed wavefield method:86th Annual International Meeting, Expanded Abstracts, doi:10.1190/segam2016-13870317.1.
Warner,M., andL.Guasch,2016,Adaptive waveform inversion: Theory:Geophysics,81,no.6,R429–R445, doi:10.1190/geo2015-0387.1.
Xu,S.,D.Wang,F.Chen,Y.Zhang, andG.Lambare,2012,Full waveform inversion for reflected seismic data:74th Annual International Conference and Exhibition, EAGE,Extended Abstracts,doi:10.3997/2214-4609.20148725.