21 citations · 23 across the 6 of their papers we have counts for
3 papers · 1 filter
A Machine-Learned Near-Well Model in OPM Flow
Peter von Schultzendorff, Tor Harald Sandve, Birane Kane +3
Recent advances in reservoir simulation increasingly utilize hybrid approaches that couple physics-based simulators with machine-learning (ML) components. ML components offer high…
Solving Biot poroelasticity by coupling OPM Flow with the two-point stress approximation finite volume method
Wietse M. Boon, Sarah Gasda, Tor Harald Sandve +1
Finite volume methods are prevalent in reservoir simulation due to their mass conservation properties and their ability to handle complex grids. However, a simple and consistent fi…
Copula modeling and uncertainty propagation in field-scale simulation of CO fault leakage
Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve +2
Subsurface storage of CO is an important means to mitigate climate change, and to investigate the fate of CO over several decades in vast reservoirs, numerical simulation b…