Activez les alertes d’offres d’emploi par e-mail !
Générez un CV personnalisé en quelques minutes
Décrochez un entretien et gagnez plus. En savoir plus
INRIA recherche un chercheur post-doctoral pour une mission axée sur la conception d'algorithmes entièrement couplés pour le transport réactif multiphasique, avec un accent sur les solutions de stockage d'hydrogène dans les milieux poreux. Le candidat idéal aura une expérience en méthodes numériques et en programmation, et sera impliqué dans des projets innovants au laboratoire J.A. Dieudonné à Nice. Des avantages tels que des repas subventionnés et un environnement flexible de travail sont offerts.
Social network you want to login/join with:
col-narrow-left
INRIA
Nice, France
Other
-
Yes
col-narrow-right
32a841a7feb6
3
30.06.2025
14.08.2025
col-wide
The project is part of a collaboration between the Inria Université Côte d'Azur center
The position will be based at the J.A. Dieudonné Mathematics Laboratory of Université Côte d'Azur
Contexte et atouts du poste
The project is part of a collaboration between the Inria Université Côte d'Azur center
The position will be based at the J.A. Dieudonné Mathematics Laboratory of Université Côte d'Azur
Mission confiée
In the context of the energy transition, Storengy is studying and developing underground hydrogen (H2) storage solutions, either in mixtures or pure form, in porous media. On one hand, the production of natural gas from new industrial-scale processes such as methanation and pyro-gasification leads to changes in the composition of the stored gas (which is mainly composed of methane, but H2 can reach a few percent of the molar composition of the stored gas). On the other hand, within the framework of the development of the hydrogen sector in Europe, H2 (pure) produced from renewable electricity through electrolysis can not only contribute to the decarbonization of electricity production and certain industrial processes but also provide flexibility to energy networks when stored. This involves studying the storage of gaseous hydrogen underground. The objective of this study is to examine the behavior of underground H2 storage in an aquifer, whether it is pure or in a mixture. One of the challenges is to account for chemical processes that could alter the composition of the gas in storage. For example, methanation or sulfate-reduction reactions, linked to the presence of certain bacteria, can enrich the gas with methane or hydrogen sulfide.The aim of this study is to numerically model two-phase water/gas flows in porous media while considering geochemical or biogeochemical reactions in the medium. We consider chemical systems typically including species in aqueous, gaseous and mineral phases and comprising phase-change reactions assumed to be at equilibrium, homogeneous reactions in the aqueous phase and heterogeneous reactions between the aqueous phase and minerals. Solving these systems, which couple molar conservation laws, chemical equilibrium laws, kinetic laws, and total volume conservation, presents numerous challenges due to the large number of chemical species, the stiffness, and the degeneracies induced by chemical reactions and phase transitions. The resolution of these systems presents numerous challenges related to the large number of chemical species, the stiffness of the system induced by chemical reactions, and the degeneracies caused by phase transitions. Most formulations are based on splitting algorithms that sequentially solve (i) a two-phase flow sub-model considering only phase-change reactions to compute the properties of the aqueous and gaseous phases (velocities, volume fractions, pressures) and (ii) a reactive transport sub-model calculating the molar concentrations of species with given phase properties.These algorithms offer advantages in terms of modularity, reusability of existing solvers, and cost. However, they suffer from splitting errors related to the loss of molar or volumetric conservation, which can significantly restrict time steps. Additionally, they assume that the aqueous phase cannot disappear, which typically prevents the consideration of drying phenomena near gas injection wells. To overcome these limitations, the project will focus on fully coupled algorithms. In particular, we will investigate the extension of natural variable formulations to the reactive framework [1] and address the difficulties associated with the disappearance of the aqueous phase and multiphase chemical equilibria [2].These algorithms will be implemented in 1D and radial 2D, and their efficiency will be studied on multiphase reactive transport benchmarks from the literature [3,4]. Subsequently, the modeling will integrate mineralogical and petrophysical data from Storengy sites as well as realistic operating conditions, including injection and withdrawal flow rates at wells. The development and operation phases of the storage will then be modeled. [1] Yaqing Fan, Louis J. Durlofsky, and Hamdi A. Tchelepi. A fully-coupled flow-reactive- transport formulation based on element conservation, with application to co2 storage sim- ulations.Advances in Water Resources, 42:47–61, 2012. [2] I. Ben Gharbia, C. Cancès, T. Faney, M. Jonval, and Q.H. Tran. Robust resolution of single- phase chemical equilibrium using parametrization and Cartesian representation techniques. working paper or preprint, 2023. [3] Etienne Ahusborde, Brahim Amaziane, Stephan de Hoop, Mustapha El Ossmani, Eric Flauraud, François P. Hamon, Michel Kern, Adrien Socié, Danyang Su, K. Ulrich Mayer, Michal Toth, and Denis Voskov. A benchmark study on reactive two-phase flow in porous media: Part 2 - results and discussion. Computational Geosciences, 2024. [4] Stephan de Hoop, Denis Voskov, Etienne Ahusborde, Brahim Amaziane, and Michel Kern. A benchmark study on reactive two-phase flow in porous media: Part 1 - model description. Computational Geosciences, 28:175–189, 2024.Principales activités
Compétences
Research experience in the design of efficient numerical methods for coupled systems of PDEs
Very good experience in scientific programming for the numerical simulation of PDEs using languages like Fortran, Python
Good experience in writing scientific reports using Latex
Ability to present his work in english and to team working
Avantages
Rémunération
Gross Salary: 2788 € per month