no code implementations • 4 Apr 2024 • Zakaria Elabid, Daniel Busby, Abdenour Hadid
Physics-informed neural networks (PINNs) have gained significant prominence as a powerful tool in the field of scientific computing and simulations.
no code implementations • 25 Jan 2024 • Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
Generative Artificial Intelligence (GAI) represents an emerging field that promises the creation of synthetic data and outputs in different modalities.
1 code implementation • 11 May 2022 • Alhasan Abdellatif, Ahmed H. Elsheikh, Daniel Busby, Philippe Berthet
In this work, we investigate the problem of using Generative Adversarial Networks (GANs) models to generate non-stationary geological channelized patterns and examine the models generalization capability at new spatial modes that were never seen in the given training set.
1 code implementation • 17 Mar 2022 • Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham, Daniel Busby, Philippe Berthet
In this work, we investigate the capacity of Generative Adversarial Networks (GANs) in interpolating and extrapolating facies proportions in a geological dataset.