121 citations · 498 across the 31 of their papers we have counts for
32 papers
Probabilistic Upscaling of Hydrodynamics in Geological Fractures Under Uncertainty
Sarah Perez, Florian Doster, Hannah Menke +2
Flow and transport in fractured geological media are strongly controlled by aperture heterogeneity and uncertainty in subsurface characterisation, yet most upscaling approaches rel…
Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference
Hannah P. Menke, Ahmed H. Elsheikh, Lingli Wei +2
Geoenergy projects (CO2 storage, geothermal, subsurface H2 generation/storage, critical minerals from subsurface fluids, or nuclear waste disposal) increasingly follow a petroleum-…
Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach
Nathalie C. Pinheiro, Donghu Guo, Hannah P. Menke +4
Modelling rock-fluid interaction requires solving a set of partial differential equations (PDEs) to predict the flow behaviour and the reactions of the fluid with the rock on the i…
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…