most citedGenerating unrepresented proportions of geological facies using Generative Adversarial Networks

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 12 cited

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…