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Full-waveform Inversion in the Data and Image SpacesNormal access

Authors: W. Weibull and B. Arntsen
Event name: 74th EAGE Conference and Exhibition incorporating EUROPEC 2012
Session: Full Waveform Inversion III
Publication date: 04 June 2012
DOI: 10.3997/2214-4609.20148282
Organisations: SPE, EAGE
Language: English
Info: Extended abstract, PDF ( 313.56Kb )
Price: € 20

Summary:
Full-waveform inversion of seismic data requires the knowledge of an initial model sufficiently close to the true model to prevent cycle-skipping. A common approach to solve this problem is to rely on velocity models estimated using ray tomography in combination with depth migration. This usually yields a smooth velocity model with kinematic properties similar enough to the true model to prevent the cycle-skipping problem. We propose an alternative approach based on wave theory only. By performing model fitting in the image space based on differential semblance a low resolution velocity model with good kinematic properties can be obtained. Cycle-skipping can be avoided by using this model as a starting model for full-waveform inversion in the data space. We show synthetic examples where an object function based on differential semblance is used to estimate an initial model and a least-squares object function is then minimized to refine the initial model.


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