Bayesian Inversion
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. The use of seismic tomography to describe the upper crustal structure beneath the Chalupas Caldera, Ecuador
Abstract The Chalupas Caldera is a rhyolitic volcano located in the Eastern Cordillera to the Southeast of the Cotopaxi Volcano in the Ecuadorian Andes. It is supposedly fed by a huge magmatic chamber below the caldera. For studying the Chalupas magmatic chamber, the tomographic models obtained by a Tarantola-Valette inversion and studied previously in the e
REM, Int. Eng. J.. Publicado em: 2021-06
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2. Molecular systematics and wing morphometric variation in species of the Drosophila tripunctata radiation / Sistematica molecular e variação morfometrica da asa de especies de Drosophila da radiação tripunctata
The tripunctata group is the second largest Neotropical group of Drosophila in number of species and was included in the tripunctata radiation which comprises other closely related groups. The second chromosome of Drosophila mediopunctata (a species that belongs to the tripunctata group) is highly polymorphic for inversions. Previous work suggested the pr
Publicado em: 2007
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3. PROBABILISTIC PORE PRESSURE PREDICTION IN RESERVOIR ROCKS THROUGH COMPRESSIONAL AND SHEAR VELOCITIES / PREVISÃO PROBABILÍSTICA DE PRESSÃO DE POROS EM ROCHAS RESERVATÓRIO ATRAVÉS DE VELOCIDADES COMPRESSIONAIS E CISALHANTES
This work proposes a method for pore pressure prediction in reservoir rocks through compressional- and shear-velocity data (seismic attributes). In the method, the attributes are considered observations of a physic system, which behavior depends on a several not-observable parameters, where the pore pressure is only one of these parameters. To estimate the p
Publicado em: 2005
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4. 1D SEISMIC INVERSION USING SIMULATED ANNEALING / A INVERSÃO SÍSMICA 1D USANDO O SIMULATED ANNEALING
The seismic inverse problem involves determining the subsurface physical properties from data sampled at Earth`s surface. A mathematical model of the response of the subsurface excited by a seismic source, having physical properties as parameters, provides a synthetic model for this response. This makes possible to compare sampled and synthetic data. The per
Publicado em: 1997
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5. Isotropic probability measures in infinite-dimensional spaces
Every isotropic probability measure on the space R∞ of real sequences x = (x1, x2,...) is a convex combination of the measure concentrated at 0 and a member of I0(R∞), the set of all isotropic probability measures p∞ on R∞ with p∞({0}) = 0. Each p∞ [unk] I0(R∞) is completely determined by any one of its finite-dimensional marginal distributions