5 papers
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…
Feature-Modulated UFNO for Improved Prediction of Multiphase Flow in Porous Media
Alhasan Abdellatif, Hannah P. Menke, Florian Doster +2
The UNet-enhanced Fourier Neural Operator (UFNO) extends the Fourier Neural Operator (FNO) by incorporating a parallel UNet pathway, enabling the retention of both high- and low-fr…
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…
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…