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Renard, Philippe

Nom
Renard, Philippe
Affiliation principale
Site web
Fonction
Directeur de Recherche
Email
Philippe.Renard@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/150
_
0000-0003-4504-435X

Résultat de la recherche

Filtres

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  • Publication
    Accès libre
    A methodology for pseudo-genetic stochastic modeling of discrete fracture networks
    (2013-1-10)
    Bonneau, François
    ;
    Henrion, Vincent
    ;
    Caumon, Guillaume
    ;
    Renard, Philippe 
    ;
    Sausse, Judith
  • Publication
    Accès libre
    A methodology for pseudo-genetic stochastic modelling of discrete fracture networks
    Bonneau, François
    ;
    Henrion, Vincent
    ;
    Caumon, Guillaume
    ;
    Renard, Philippe 
    ;
    Sausse, Judith
    Stochastic simulation of fracture systems is an interesting approach to build a set of dense and complex networks. However, discrete fracture models made of planar fractures generally fail to reproduce the complexity of natural networks, both in terms of geometry and connectivity. In this study a pseudo-genetic method is developed to generate stochastic fracture models that are consistent with patterns observed on outcrops and fracture growth principles. The main idea is to simulate evolving fracture networks through geometric proxies by iteratively growing 3D fractures. The algorithm defines heuristic rules in order to mimic the mechanics of fracture initiation, propagation, interaction and termination. The growth process enhances the production of linking structure and impacts the connectivity of fracture networks. A sensitivity study is performed on synthetic examples. The method produces unbiased fracture dip and strike statistics and qualitatively reproduces the fracture density map. The fracture length distribution law is underestimated because of the early stop in fracture growth after intersection.