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Investigating Hessian-based inversion velocity analysis
Seismic differential semblance-oriented migration velocity analysis — Status and the way forward
From acoustic to elastic inverse extended Born modeling: A first insight in the marine environment
Sparsity-promoting multiparameter pseudoinverse Born inversion in acoustic media
From constant- to variable-density inverse extended Born modeling
Coupling direct inversion to common-shot image-domain velocity analysis
Toward a stable iterative migration velocity analysis scheme
Time-lapse velocity analysis — Application to onshore continuous reservoir monitoring
From migration to inversion velocity analysis
Waveform inversion based on wavefield decomposition
Adaptive multiple subtraction: Unification and comparison of matching filters based on the ℓ q -norm and statistical independence
Curvelet-based multiple prediction
Seismic wave-equation demigration/migration
First-arrival traveltime tomography based on the adjoint-state method
Seismic demigration/migration in the curvelet domain
Abstract Complex velocity models characterized by strong lateral variations are certainly a great motivation, but also a great challenge, for depth imaging. In this context, some unexpected results can occur when using depth imaging algorithms. In general, after a common shot or common offset migration, the resulting depth images are sorted into common-image gathers (CIG), for further processing such as migration-based velocity analysis or amplitude-variation-with-offset analysis. In this paper, we show that CIGs calculated by common-shot or common-offset migration can be strongly affected by artifacts, even when a correct velocity model is used for the migration. The CIGs are simply not flat, due to unexpected curved events (kinematic artifacts) and strong lateral variations of the amplitude (dynamic artifacts). Kinematic artifacts do not depend on the migration algorithm provided it can take into account lateral variations of the velocity model This can be observed when migrating the 2-D Marmousi dataset either with a wave-equation migration or with a multivalued Kirchhoff mi-gration/inversion. On the contrary, dynamic artifacts are specific to multi-arrival ray-based migration/inversion This approach which should provide a quantitative estimation of the reflectivity of the model provides in this context dramatic results.