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from BRGM, IFPEN, and INRIA. The objective of this thesis is to develop a thermodynamically consistent model for thermo-hydro-mechanical-chemical (THMC) coupling in porous media under multiphase flow
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flow conditions. Here, thermodynamic consistency refers to a modelling framework in which the coupling between processes of different physical nature is derived from fundamental physical principles
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs
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