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Automatic Sealing and Simplification of 3D Geological Surface Models Using Topology Recovery

Authors :
Pierre Anquez
Bruno Levy
Guillaume Caumon
Jeanne Pellerin
GeoRessources
Institut national des sciences de l'Univers (INSU - CNRS)-Centre de recherches sur la géologie des matières premières minérales et énergétiques (CREGU)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Université Catholique de Louvain = Catholic University of Louvain (UCL)
Inria Nancy - Grand Est
Institut National de Recherche en Informatique et en Automatique (Inria)
EAGE
Source :
79th EAGE Conference and Exhibition 2017, 79th EAGE Conference and Exhibition 2017, EAGE, Jun 2017, Paris, France. ⟨10.3997/2214-4609.201701143⟩, Scopus-Elsevier
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; We propose a method to automatically generate a 3D sealed geological model from a set of disconnected surfaces. Our method also permits to remove small features (e.g. thin layers) of the model. To remove the gaps and other inconsistencies between the input surfaces and to build watertight volumes, we propose a two step approach. First we recover the model topology and then we modify its geometry. The topology recovery of the geological model detects the geological model inconsistencies and small features. Relying on tolerances, it allows geometrical displacement of model entities while preventing the output model to be too far away from the input surfaces. The second step modifies the geometry of the model in accordance with its newly defined topology. The output model is sealed and is an adequate input for volumetric discretization, then flow and geomechanical modeling. Our method is illustrated on a synthetic model containing delicate features characteristic of geological structural models such as non manifold features.

Details

Language :
English
Database :
OpenAIRE
Journal :
79th EAGE Conference and Exhibition 2017, 79th EAGE Conference and Exhibition 2017, EAGE, Jun 2017, Paris, France. ⟨10.3997/2214-4609.201701143⟩, Scopus-Elsevier
Accession number :
edsair.doi.dedup.....dc3c77bc80ff7b31f1774dfec25a726f
Full Text :
https://doi.org/10.3997/2214-4609.201701143⟩