Algorithmes de visualisation des incertitudes en géomodélisation sur GPU

Abstract : Most of the subsurface is inaccessible to direct observation in geosciences. Consequently, only local or imprecise data are available when building or updating a geological model; uncertainties are therefore central to geomodeling. The inverse problem theory and the stochastic simulation methods provide a framework for the generation of large sets of likely representations of the subsurface, also termed realizations. In practice, however, the size of the set of realizations severely impacts further interpretation or processing of the geological model.This thesis aims at providing visualization algorithms to expert geologists that allow them to explore, analyze and communicate on spatial uncertainties associated to large sets of realizations. Our contributions are: (1) We propose a set of techniques dedicated to petrophysical uncertainty visualization, based on a GPU programming approach that maintains their interoperability; (2) We propose two techniques dedicated to structural uncertainty visualization that can handle both geometrical and topological uncertainties (e.g., the existence of the surface or its relationships with other surfaces); (3) We assess the quality of our uncertainty visualization algorithms through two user studies, which respectively focus on the perception of static and animated methods. These studies bring new elements on how uncertainty should be represented
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Thomas Viard. Algorithmes de visualisation des incertitudes en géomodélisation sur GPU. Autre. Institut National Polytechnique de Lorraine, 2010. Français. ⟨NNT : 2010INPL042N⟩. ⟨tel-01748833⟩

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