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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...
Autor principal: | PINTO, Fabiano Ricini |
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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/1748 |
Resumo: |
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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. |