74 citations · 233 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries
Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes +2
This paper solves the discretised multiphase flow equations using tools and methods from machine-learning libraries. The idea comes from the observation that convolutional layers c…
Neural Physics: Using AI Libraries to Develop Physics-Based Solvers for Incompressible Computational Fluid Dynamics
Boyang Chen, Claire E. Heaney, Christopher C. Pain
Numerical discretisations of partial differential equations (PDEs) can be written as discrete convolutions, which, themselves, are a key tool in AI libraries and used in convolutio…