121 citations · 271 across the 5 of their papers we have counts for
5 papers
Parametrization of stochastic inputs using generative adversarial networks with application in geology
Shing Chan, Ahmed H. Elsheikh
We investigate artificial neural networks as a parametrization tool for stochastic inputs in numerical simulations. We address parametrization from the point of view of emulating t…
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
Shing Chan, Ahmed H. Elsheikh
We propose a framework for synthesis of geological images based on an exemplar image. We synthesize new realizations such that the discrepancy in the patch distribution between the…
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan, Ahmed H. Elsheikh
Deep learning techniques are increasingly being considered for geological applications where -- much like in computer vision -- the challenges are characterized by high-dimensional…
A machine learning approach for efficient uncertainty quantification using multiscale methods
Shing Chan, Ahmed H. Elsheikh
Several multiscale methods account for sub-grid scale features using coarse scale basis functions. For example, in the Multiscale Finite Volume method the coarse scale basis functi…
Parametrization and generation of geological models with generative adversarial networks
Shing Chan, Ahmed H. Elsheikh
One of the main challenges in the parametrization of geological models is the ability to capture complex geological structures often observed in the subsurface. In recent years, ge…