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A Priori Model Estimation for FWI from Constrained Kinematic Inverse ProblemNormal access

Authors: Christophe Barnes and Marwan Charara
Event name: 74th EAGE Conference and Exhibition - Workshops
Session: From Kinematic to Waveform Inversion - Where Are we and where Do we Want to Go? A Tribute to Patrick Lailly
Publication date: 04 July 2012
DOI: 10.3997/2214-4609.20149789
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 604.82Kb )
Price: € 20

Summary:
Exploration inverse methods such as Monte Carlo could provide the general solution for the fullwaveform inversion (FWI) inverse problem allowing incorporating complex a priori information and data with arbitrary noise distributions. Such an approach applied directly to the FWI problem is computationally not tractable. The alternative is to solve the highly non-linear part of the problem with a fast forward problem such as traveltime with a constrained random exploration. The obtained a priori models and uncertainties help greatly in solving the FWI. This approach was successfully applied to an offset vertical seismic profile (OVSP) case.


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