1 citations · 1 across the 8 of their papers we have counts for
9 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…
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…
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…
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…
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis
Alhasan Abdellatif, Ahmed H. Elsheikh, Hannah P. Menke
Texture models based on Generative Adversarial Networks (GANs) use zero-padding to implicitly encode positional information of the image features. However, when extending the spati…