Robust velocity estimation via joint migration inversion and full waveform inversion
- Gerald Eisenberg (TEECware GmbH) | Eliakim Schuenemann (TEECware GmbH) | Guido Gierse (TEECsolutions LLC) | Eric Verschuur (Delft University of Technology) | Shan Qu (Delft University of Technology)
- 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
- Reflectivity, Full-waveform inversion, Resolution, Depth migration
- 2 in the last 30 days
- 2 since 2007
- Show more detail
High-resolution velocity models of the subsurface in depth domain are increasingly obtained from seismic data by Full Waveform Inversion (FWI), which has become the leading-edge technology in this domain. FWI applications, however, often fail if severely band-limited seismic data lacks low-frequency information that determines the general trend of the subsurface velocity. The inversion then produces cycle skipping by adapting incompatible phases of the synthetic and measured data. In order to avoid this FWI failure, the general velocity trend may be obtained as starting models by alternative methods from severely band-limited seismic data. The Joint Migration Inversion (JMI) provides a better reconstruction of the velocity trend in the starting model, thus driving the FWI results much closer to the actual subsurface velocity. This is demonstrated for synthetic 2D seismic data from a realistic subsurface model obtained in marine gas-hydrate studies.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 3:30 PM
Presentation Type: Oral
|File Size||387 KB||Number of Pages||5|
Berkhout,A. J.,2012,Combining full wavefield migration and full waveform inversion, a glance into the future of seismic imaging:Geophysics,77,no.5,S43–S50, doi:10.1190/geo2011-0148.1.
Berkhout,A. J.,2014b,Review paper: An outlook on the future of seismic imaging, Part II:Geophysical Prospecting,62,931–949, doi:10.1111/1365-2478.12154.
Berkhout,A. J.,2014c,Review paper: An outlook on the future of seismic imaging, Part III:Geophysical Prospecting,62,950–971, doi:10.1111/1365-2478.12158.
Bozdag,E.,J.Trampert, andJ.Tromp,2011,Misfit functions for full waveform inversion based on instantaneous phase and envelope measurements:Geophysical Journal International,185,845–870, doi:10.1111/j.1365-246X.2011.04970.x.
Chauris,H.,D.Donno, andH.Calandra,2012,Velocity estimation with the Normalized Integration method:74th Annual International Conference and Exhibition, EAGE,Extended Abstracts,W020, doi:10.3997/2214-4609.20148721.
Chi,B.,L.Dong, andY.Liu,2014,Full waveform inversion method using envelope objective function without low frequency data:Journal of Applied Geophysics,109,36–46, doi:10.1016/j.jappgeo.2014.07.010.
Luo,Y., andG.Schuster,1991,Wave equation traveltime inversion:Geophysics,56,645–653, doi:10.1190/1.1443081.
Masaya,S., andD. J.Verschuur,2018,Iterative reflectivity-constrained velocity estimation for seismic imaging:Geophysical Journal International,214,1–13, doi:10.1093/gji/ggy105.
Staal,X. R., andD. J.Verschuur,2012,Velocity estimation using internal multiples:82nd Annual International Meeting, SEG, Expanded Abstracts, doi:10.1190/segam2012-1580.1.
Verschuur,D. J.,X. R.Staal, andA. J.Berkhout,2016,Joint migration inversion: Simultaneous determination of velocity fields and depth images using all orders of scattering:The Leading Edge,35,1037–1046, doi:10.1190/tle35121037.1.
Virieux,J., andS.Operto,2009,An overview of full waveform inversion in exploration geophysics:Geophysics,74,no.6,WCC127–WCC152, doi:10.1190/1.3238367.
Warner,M., andL.Guasch,2016,Adaptive waveform inversion: Theory:Geophysics,81,no.6,R429–R445, doi:10.1190/geo2015-0387.1.