Tag
This paper evaluates how boundary condition fidelity affects bottom-hole pressure and CO2 plume prediction in geological carbon storage simulations, finding that conserving corner pore volume is the most important requirement for truncated-domain modeling.
This paper presents a comprehensive mathematical framework for sequential surrogate modeling of three-phase black-oil reservoir dynamics using Fourier Neural Operators (FNO) and physics-informed variants (PINO), applied to the Norne benchmark reservoir. Theoretical contributions include functional-analytic formulation, covariate shift analysis, physics-constrained spectral stability, and truncated backpropagation gradient analysis.