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Trabalho de Conclusão de Curso - Graduação
Tomografia aplicada á migraçãoem tempo
The flatness of reflection events in common image gathers (CIG), when the migration velocity model is correct, is the basis of methods for migration velocity analysis. The differential semblance of CIG gathers is minimum when all events are flat. Using the differential semblance as objective func...
Autor principal: | SOARES, Patrícia da Trindade |
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Grau: | Trabalho de Conclusão de Curso - Graduação |
Publicado em: |
2019
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Assuntos: | |
Acesso em linha: |
http://bdm.ufpa.br/jspui/handle/prefix/1724 |
Resumo: |
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The flatness of reflection events in common image gathers (CIG), when the migration
velocity model is correct, is the basis of methods for migration velocity analysis. The
differential semblance of CIG gathers is minimum when all events are flat. Using the
differential semblance as objective function, the velocity estimation reduces to an optimization
problem. The simulated annealing algorithm estimates time migration velocity
model that better flattens the events in CIG. This strategy do not have the shortcomings
of the conventional NMO/DMO loop for time velocity analysis. The algorithm was successfully
applied to estimate the velocity model for pre-stack migration of the Marmousoft
synthetic data set. |