12 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
Generation of non-stationary stochastic fields using Generative Adversarial Networks
Alhasan Abdellatif, Ahmed H. Elsheikh, Daniel Busby +1
In the context of generating geological facies conditioned on observed data, samples corresponding to all possible conditions are not generally available in the training set and he…
Generating unrepresented proportions of geological facies using Generative Adversarial Networks
Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham +2
In this work, we investigate the capacity of Generative Adversarial Networks (GANs) in interpolating and extrapolating facies proportions in a geological dataset. The new generated…