Generation of conformal polyhedral meshes for CO2 and geothermal simulations
il y a 2 jours
Réf ABG-135235
Sujet de Thèse
22/01/2026
Autre financement public
IFP Energies nouvelles
Lieu de travail
Rueil-Malmaison - Ile-de-France - France
Intitulé du sujet
Generation of conformal polyhedral meshes for CO2 and geothermal simulations
Champs scientifiques
- Informatique
Mots clés
Algorithmic geometry, Polyhedral meshes, Voronoï, Optimization, Geometric modeling, CO2 storage, Geothermal energy, Partial differential equations, Numerical simulations
Description du sujetWith the emergence of new numerical schemes based on general meshes, new possibilities arise for meshing complex geological environments and thus tackling new challenges for the energy transition, namely CO2 storage and deep geothermal energy. Indeed, polyhedral meshes offer advantages that strongly typed meshes, such as simplicial or hexa-dominant meshes, do not: the quality of the meshes produced does not depend directly on the quality of the faces imposed on the boundaries of the domain or on the internal surfaces, which are essential for representing changes in the environment. Moreover, these meshes can be edited by a wide range of geometric and topological operators.
This PhD builds on the work of Alexandre Marin at IFPEN, who has demonstrated that it is possible to generate Voronoi meshes that take into account a continuous anisotropy field, and thus control and vary the form factors and density of the cells. The PhD student will compare existing approaches in the literature for obtaining conformity to the internal surfaces of the volume of interest with regard to the geological context. He will develop a new method for obtaining conformity with constraints surfaces by adapting the Voronoi mesh optimization or by evolving the energy function used by the latter. These algorithms will be applied to IFPEN geological models and to the 11th SPE CSP model, to produce conformal polyhedral meshes that consider domain anisotropy and areas of interest for simulation.
02/11/2026
Nature du financementAutre financement public
Précisions sur le financementPEPR Sous-sol
Présentation établissement et labo d'accueilIFP Energies nouvelles
IFP Energies nouvelles is a French public-sector research, innovation and training center. Its mission is to develop efficient, economical, clean and sustainable technologies in the fields of energy, transport and the environment. For more information, see our WEB site.
IFPEN offers a stimulating research environment, with access to first in class laboratory infrastructures and computing facilities. IFPEN offers competitive salary and benefits packages. All PhD students have access to dedicated seminars and training sessions.
Profil du candidat
Academic requirements University Master degree in mathematics or computer sciences
Language requirements English level B2 (CEFR), Willingness to learn French
Other requirements Optimization, Differential calculus, Computer programming (ideally C++), Computer graphics, Geometric modeling
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