Inversão da forma completa de onda orientada ao alvo baseado no método Patched Green's Function e estatística de Renyi

We propose an efficient methodology for the complete version of the wave oriented to a target area through the Patched Green’s Function-(PGF) method. The method consists of separating the velocity model into two regions of interest, “external” and “target” regions. When trying the very large syst...

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Detalhes bibliográficos
Autor principal: Barbosa, Wagner de Almeida
Outros Autores: Araújo, João Medeiros de
Formato: doctoralThesis
Idioma:pt_BR
Publicado em: Universidade Federal do Rio Grande do Norte
Assuntos:
FWI
Endereço do item:https://repositorio.ufrn.br/handle/123456789/47230
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Descrição
Resumo:We propose an efficient methodology for the complete version of the wave oriented to a target area through the Patched Green’s Function-(PGF) method. The method consists of separating the velocity model into two regions of interest, “external” and “target” regions. When trying the very large system it can be considered as projected arrays. In addition, we address a situation in which the observed data is contaminated with noise. In this scenario, we formulate a FWI based on the maximization of the Reney statistic together with the PGF method, we build a robust objective function in this scenario scenario. Results relevant to the results obtained with the results-based version of the FWI, based on the results obtained with the PGF methodology, related to the results obtained with the resultsbased method of the FWI based on the results statistics based on the FWI, especially not -Gaussians. The main advantage of the PGF method is that it is able to optimize the approximate methods of the continuous method in each ideal method, it is worth emphasizing that mathematically the PGF method is mathematically exact and does not involve the PGF method is thus a computationally approximated cost to precision, robust of the FWI based in the Reney statistic to data with non-Gaussian noise, it may be related to the entropic index, especially for the value of α → 2/3.