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Modélisation cinématique et mécanique des réseaux de fractures à l'échelle du massif rocheux

Abstract : Fractures are ubiquitous geological structures controlling both flows and rock mechanical strength. Their impact is even bigger as they tend to organize themselves in a complex network, making it possible for a particle to find its way through the rock. Modelling the fracture network is thus a key prerequisite of forecasting modelling in many industrial applications such as nuclear deep waste disposal, among others. This geometrical representation of the fracture network can then serve as a basis for flow, transport, or mechanical simulations. In most of the cases, a direct observation of the fractured volume is not possible, and fractures cannot be modelled deterministically. Hence, the modelling must be stochastic, which consists of generating a 3D fractured medium statistically equivalent to measures and observations. Discrete Fracture Network modeling describes fractured rocks as a population of individual fracture surfaces, whose geometrical parameters are drawn from statistical probability distributions derived from observations. Unfortunately, these statistics are obtained from a very limited number of data, which is disproportionate to the fracture complexity. Fractures exist everywhere and at all scales and details in their spatial organization can play an important role in controlling flow and connectivity. But assessing and quantifying these spatial correlations from field data remains an issue for geologists. This can be partly tackled either by new high resolution data on imaging fractures, and/or by new genetic models of DFN able to replace the lack of field information by fracturing relevant rules. The latter approach is the main objective of this thesis.
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Submitted on : Wednesday, June 24, 2020 - 3:10:24 PM
Last modification on : Wednesday, October 12, 2022 - 2:17:13 PM


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  • HAL Id : tel-02880022, version 1


Etienne Lavoine. Modélisation cinématique et mécanique des réseaux de fractures à l'échelle du massif rocheux. Sciences de la Terre. Université Rennes 1, 2020. Français. ⟨NNT : 2020REN1B004⟩. ⟨tel-02880022⟩



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