10 papers
A Conservative Darcy-Brinkman-Stokes Formulation for PHREEQC-Coupled Reactive Transport with Cell-Based Surface Complexation
Hannah P. Menke, Florian Doster, Julien Maes
We present a mass-conservative Darcy-Brinkman-Stokes (DBS) formulation for reactive transport with cell-based surface complexation in image-based porous media, coupled to PHREEQC a…
Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
Zhenkai Bo, Ahmed H. Elsheikh, Hannah P. Menke +5
Carbonate reservoirs offer significant capacity for subsurface carbon storage, oil production, and underground hydrogen storage. X-ray computed tomography (X-ray CT) coupled with n…
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…
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…
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…
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…
A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction
Alhasan Abdellatif, Hannah P. Menke, Julien Maes +2
Accurately capturing the complex interaction between CO2 and water in porous media at the pore scale is essential for various geoscience applications, including carbon capture and…
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…
Multi-scale flow, permeability, and heat transport in low-carbon and traditional building materials
Hannah P. Menke, Katherine M. Hood, Kamaljit Singh +2
Permeability and heat transport through building materials ultimately dictates their insulatory performance over a buildings service lifetime. Experiments combining XCT with numeri…
Dispersivity calculation in digital twins of multiscale porous materials using the micro-continuum approach
Julien Maes, Hannah Menke
The micro-continuum method is a novel approach to simulate flow and transport in multiscale porous materials. For such materials, the domain can be divided into three sub-domains d…