Inversão Gravimétrica de Relevo do Embasamento de Bacia Sedimentar utilizando Algoritmo Genético Paralelizado
The present work aims to estimate the relief of the basement of sedimentary basins from the gravity inversion of synthetic and real data. We have implemented an Inversion algorithm using the Parallelized Genetic Algorithm (PGA) to estimate the depth of a 2D sedimentary basin in which the density co...
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| Formato: | bachelorThesis |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/42871 |
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| Resumo: | The present work aims to estimate the relief of the basement of sedimentary basins from
the gravity inversion of synthetic and real data. We have implemented an Inversion algorithm using the Parallelized Genetic Algorithm (PGA) to estimate the depth of a 2D sedimentary basin in which the density contrast is known. The sedimentary basin is discretized in rectangular prisms juxtaposed with thicknesses that represent the surface depths and are the parameters to be estimated in the gravitational anomaly inversion process. Bonds of smoothness, sparsity and total variation are discussed. We present the inversion results with synthetic and real data from a sedimentary basin. Furthermore, the PGA is implemented by adopting MATLAB ® and its parallelization tool (Parallel Computing Toolbox™). This makes it possible to reduce computational time in 37.5% on average. We validate the method by applying it to synthetic data produced by two simulated basins de limited by high-angle staggered faults; we obtained a good definition of the relief, mainly the discontinuities. We also applied the method to a set of gravimetric observations from
Ponte do Poema, located at the Federal University of Pará (UFPA) and obtained acceptable solutions. When applied to the interpretation of a discontinuous basement relief, the
total variation bond performed better. |
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