53 citations · 58 across the 4 of their papers we have counts for
4 papers
Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow
Vinicius L S Silva, Pablo Salinas, Claire E Heaney +2
We propose a novel type of nonlinear solver acceleration for systems of nonlinear partial differential equations (PDEs) that is based on online/adaptive learning. It is applied in…
Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions
Vinicius L S Silva, Geraldine Regnier, Pablo Salinas +3
Reactive transport in porous media plays a pivotal role in subsurface reservoir processes, influencing fluid properties and geochemical characteristics. However, coupling fluid flo…
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson +7
The modelling of multiphase flow in a pipe presents a significant challenge for high-resolution computational fluid dynamics (CFD) models due to the high aspect ratio (length over…
Goal-based sensitivity maps using time windows and ensemble perturbations
C. E. Heaney, P. Salinas, F. Fang +2
We present an approach for forming sensitivity maps (or sensitivites) using ensembles. The method is an alternative to using an adjoint, which can be very challenging to formulate…