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A leading research institute in France is seeking a PhD holder in Numerical Fluid and/or Solid Mechanics for a role in the EURAD 2 project. The candidate will focus on implementing THMC processes and conducting upscaling for computational modelling related to gas migration. The position offers opportunities for international collaboration and exposure to cutting-edge simulation methods. Occasional remote work is possible.
In the frame of EURAD 2 project (-), we want to implement the coupling between the different physical (THMC) processes involved in gas migration and to upscale results into the continuum scale, to be able to use them for modelling of laboratory experiments from EURAD1. For upscaling process, the work will be conducted within a dedicated work-package HERMES, that will put forward several approaches and make them interoperate. IRSN, in collaboration with GeoRessources (Univ. of Lorraine), proposes to study the THMC couplings in the near- and far-field at the micro and meso scale (order of tens of pores) based on microstructural information obtained from 3D imaging approaches (XRay µtomography, FIB-SEM, ) within EURAD1. In particular, the SPH code will be used to extensively study coupling of water-gas flow with deformation of elasto-damageable solid matrix in in‑situ oriented conditions with consideration of temperature dependency of multiphase flow parameters (to be implemented). Taking advantage from increasing capabilities of modern GPUs, we will be able to simulate bigger domains and thus to compute effective properties (e.g., saturation curve, relative permeability, poromechanical properties) and their evolution with time so that an upscaled model could be derived. Dynamics data integration though unified EURAD2 HERMES interface will be implemented as well to simulate small scale experiments and deliver data for code comparisons.
Such comparison of our computationally expensive microscale models with macroscale approaches will be used to explore the consequences of usual simplifications and will provide benchmarking and training data for predictive surrogate models.
uncommon simulation method (SPH) used in astrophysics and computer games, international project EURAD2 with plenty of networking opportunities, high performance computing
Modelling of two‑phase flow in porous media, poromechanics, hydro‑mechanical coupling, upscaling, Physics Informed Neural Networks (PINNs)
Occasionnel
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Europe, France, Ile‑de‑France, Hauts‑de‑Seine