4 citations · 8 across the 6 of their papers we have counts for
6 papers
Improved Volume-of-Solid formulations for micro-continuum simulation of mineral dissolution at the pore-scale
Julien Maes, Cyprien Soulaine, Hannah P. Menke
We present two novel Volume-of-Solid (VoS) formulations for micro-continuum simulation of mineral dissolution at the pore-scale. The traditional VoS formulation (VoS-psi) uses a di…
GeoChemFoam: Direct Modelling of flow and heat transfer in micro-CT images of porous media
Julien Maes, Hannah P. Menke
GeoChemFoam is an open-source OpenFOAM-based numerical modelling toolbox that includes a range of custom packages to solve complex flow processes including multiphase transport wit…
GeoChemFoam: Operator Splitting based time-stepping for efficient Volume-Of-Fluid simulation of capillary-dominated two-phase flow
Julien Maes, Hannah P. Menke
We present a novel time-stepping method, called Operator Splitting with Capillary Relaxation (OSCAR), for efficient Volume-Of-Fluid simulations of capillary-dominated two-phase flo…
Benchmarking the viability of 3D printed micromodels for single phase flow using Particle Image Velocimetry and Direct Numerical Simulations
Alexandros Patsoukis Dimou, Hannah P. Menke, Julien Maes
Holistic understanding of multiphase reactive flow mechanisms such as CO dissolution, multiphase displacement, and snap-off events are vital for optimisation of large-scale ind…
GeoChemFoam: Direct modelling of multiphase reactive transport in real pore geometries with equilibrium reactions
Julien Maes, Hannah P. Menke
We present the novel numerical model GeoChemFoam, a multiphase reactive transport solver for simulations on complex pore geometries, including microfluidic devices and micro-CT ima…
Upscaling the porosity-permeability relationship of a microporous carbonate to the Darcy scale with machine learning
Hannah P. Menke, Julien Maes, Sebastian Geiger
The permeability of a pore structure is typically described by stochastic representations of its geometrical attributes. Database-driven numerical solvers for large model domains c…