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Descripción
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| Nonlinear gravity inversion in sedimentary basins is a classical problem in applied geophysics. Although a 2D approximation is widely used, 3D models have been also proposed to better take into account the basin geometry. A common nonlinear approach to this 3D problem consists in modeling the basin as a set of right rectangular prisms with prescribed density contrast, whose depths are the unknowns. Then, the problem is iteratively solved via local optimization techniques from an initial model computed using some simplifications or being estimated using prior geophysical models. Nevertheless, this kind of approach is highly dependent on the prior information that is used, and lacks from a correct solution appraisal (nonlinear uncertainty analysis). In this paper, we use the family of global Particle Swarm Optimization (PSO) optimizers for the 3D gravity inversion and model appraisal of the solution that is adopted for basement relief estimation in sedimentary basins. Synthetic and real cases are illustrated, showing that robust results are obtained. Therefore, PSO seems to be a very good alternative for 3D gravity inversion and uncertainty assessment of basement relief when used in a sampling while optimizing approach. That way important geological questions can be answered probabilistically in order to perform risk assessment in the decisions that are made. | |
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Internacional
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JCR del ISI
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Título de la revista
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Journal of Applied Geophysics |
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ISSN
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0926-9851 |
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Factor de impacto JCR
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1,355 |
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Información de impacto
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Datos JCR del año 2015 |
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Volumen
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139 |
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DOI
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10.1016/j.jappgeo.2017.02.004 |
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Número de revista
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Desde la página
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338 |
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Hasta la página
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350 |
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Mes
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ABRIL |
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Ranking
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