Adicionando informação a priori ao formalismo do FWI através da entropia relativa
Full waveform inversion is a technique used to obtain the subsurface velocity model with high accuracy. In the oil industry (mainly in reservoir characterization), it is common to use well information as priori information to reduce the ambiguity of the results obtained. In this sense, this work p...
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| 格式: | doctoralThesis |
| 語言: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| 主題: | |
| 在線閱讀: | https://repositorio.ufrn.br/handle/123456789/49176 |
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| 總結: | Full waveform inversion is a technique used to obtain the subsurface velocity model
with high accuracy. In the oil industry (mainly in reservoir characterization), it is common to use well information as priori information to reduce the ambiguity of the results
obtained. In this sense, this work proposes to add priori information in the formalism
of full waveform inversion through relative entropy. The application of entropy in inverse problems generally formulates the problem to allow the use of statistical concepts.
However, there is an equivalence between the statistical and “deterministic’ formulation.
Therefore, in this work, the proposal is to use relative entropy in a deterministic way.
Some aspects of relative entropy will be discussed and three different ways of using it
to add information to priori in the inverse problem. In regions where salt is present in
the BP 2004 model, significant improvements were obtained by adding priori information
to through relative entropy for synthetic data. It will be shown that adding information
to priori through relative entropy, in the full waveform inversion formalism, can help to
avoid local minima. |
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