Um estudo de estratégias de inversão de dados sísmicos via inversão da forma de onda completa no domínio da frequência
Full-Waveform Inversion is a powerful seismic imaging technique capable of recovering highresolution subsurface models from observed data. This inversion is a nonlinear problem formulated as a local optimization problem that seeks to minimize the objective function in an attempt to find values tha...
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| Formato: | Dissertação |
| Idioma: | pt_BR |
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Brasil
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/28931 |
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| Resumo: | Full-Waveform Inversion is a powerful seismic imaging technique capable of recovering highresolution subsurface models from observed data. This inversion is a nonlinear problem
formulated as a local optimization problem that seeks to minimize the objective function in an
attempt to find values that fit the modeled and observed data. In order to minimize the
nonlinearity problem, a multiscale inversion approach is used to mitigate the sensitivity of the
problem to converging toward local minima. In this work, we studied the frequency domain
Full-Wave Inversion strategies (frequency and small frequency band inversion) with the
Marmousi model in the presence and absence of noise. Additionally, a hybrid regularization
based on Cauchy and Tikhonov constraints was proposed, in order to balance smoothness and
sparsity also in noise presence and absence situations. The tests showed a superiority in the use
of frequency band inversion. Moreover, for Marmousi, the proposed hybrid regularization was
able to satisfactorily invert the initial model and it is a good option for data inversions in the
absence of noisy components while Tikhonov was better adjusted considering the noise used
and the parameters of this work. |
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