collaborators

5 papers

physics.flu-dyn2025

Scalable CFD Simulations in Multi-Billion Voxel Micro-CT Images of Porous Materials Using OpenFOAM on ARCHER2

J. Maes, Gavin J. Pringle, Hannah P. Menke

This study investigates the use of High-Performance Computing (HPC) to simulate flow and transport in ultra-large micro-CT images of porous materials using Computational Fluid Dyna…

physics.geo-ph2025

Inference of microporosity phase properties in heterogeneous carbonate rock with data assimilation techniques

Zhenkai Bo, Ahmed H. Elsheikh, Hannah P. Menke +3

Accurate digital rock modeling of carbonate rocks is limited by the difficulty in acquiring morphological information on small-scale pore structures. Defined as microporosity phase…

physics.flu-dyn2025

Enhanced Permeability Estimation in Microporous Rocks Using a Hybrid Macropore-Darcy Approach

Dmytro Petrovskyy, Julien Maes, Hannah P. Menke +5

This study presents a novel workflow for constructing hybrid macropore-Darcy models from micro-CT images of microporous rocks. In our approach, macropore networks are extracted usi…

physics.geo-ph2025

When Cubic Law and Darcy Fail: Bayesian Correction of Model Misspecification in Fracture Conductivities

Sarah Perez, Florian Doster, Julien Maes +3

Structural uncertainties and unresolved features in fault zones hinder the assessment of leakage risks in subsurface CO2 storage. Understanding multi-scale uncertainties in fractur…

cs.LG2025

A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media

Marcos Cirne, Hannah Menke, Alhasan Abdellatif +3

Simulating reactive dissolution of solid minerals in porous media has many subsurface applications, including carbon capture and storage (CCS), geothermal systems and oil & gas rec…