Trabalho de Conclusão de Curso - Graduação

Estimativa automática de parâmetros de empilhamento:aplicação ao método CRS

Seismic stacking has the goal of simulate a zero offset experiment, and it is widely applied in the seismic data processing to multiple coverage. The stacked section has a better signal to noise ratio than the seismic data. In the conventional form, the seismic stacking is associated with CMP sor...

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Autor principal: PINTO, Fabiano Ricini
Grau: Trabalho de Conclusão de Curso - Graduação
Publicado em: 2019
Assuntos:
Acesso em linha: http://bdm.ufpa.br/jspui/handle/prefix/1748
Resumo:
Seismic stacking has the goal of simulate a zero offset experiment, and it is widely applied in the seismic data processing to multiple coverage. The stacked section has a better signal to noise ratio than the seismic data. In the conventional form, the seismic stacking is associated with CMP sort data, the velocity analysis, and the application of NMO and DMO correction. In other hand, simulate of zero offset section can be achieved throw automatic parameter estimation that select coherence measures in a CMP neighbor. On literature, there are many methodologies to accomplish the optimization parameters, in this Final Course Report (TCC), I implemented the Powell and Quasi-Newton optimization technique. These algorithms were tested to the CRS 2D method in a set of synthetic Marmousoft data. Numerical experiments indicate that both method are efficient, moreover, Powell method is more accurate to estimate parameters.