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Mitigating the gradient artefacts of Migration Velocity Analysis by Gauss-Newton updateNormal access

Authors: R. Soubaras and B. Gratacos
Event name: 79th EAGE Conference and Exhibition 2017 - Workshops
Session: WS09 Velocity Model Building - Full Wave vs Kinematic Approaches (FWI vs MVA)
Publication date: 12 June 2017
DOI: 10.3997/2214-4609.201701718
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 464.13Kb )
Price: € 20

This paper shows how the artefacts present in the gradient of the cost function when performing a Migration Velocity Analysis can be strongly attenuated by using a second-order Gauss-Newton scheme. The artefacts on the velocity gradient are strongly attenuated when the total gradient is deconvolved by the approximate total Hessian. At each iteration, a least-squares migration is produced rather than a migration. The proposed algorithm is illustrated on the Marmousi dataset.

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