GANSim: conditional facies simulation using an improved progressive growing of generative adversarial networks (GANs)
type: Item
instance of: scholarly article
title: GANSim: conditional facies simulation using an improved progressive growing of generative adversarial networks (GANs)
zbMATH Open document ID: 1477.86032
author: Suihong Song
author: Tapan Mukerji
author: Jiagen Hou
published in: Mathematical Geosciences
publication date: 2022-01-14T00:00:00Z
full work available at URL: fm24b
Mathematics Subject Classification ID: 86A32
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7457641
zbMATH Keywords: conditional facies modeling
zbMATH Keywords: generative adversarial networks (GANs)
zbMATH Keywords: progressive growing of GANs
zbMATH Keywords: deep learning
zbMATH Keywords: geological pattern
zbMATH Keywords: reservoir forecast
describes a project that uses: StyleGAN
describes a project that uses: WaveNet
describes a project that uses: Wasserstein GAN
describes a project that uses: CycleGAN
describes a project that uses: pix2pix
MaRDI profile type: Publication
OpenAlex ID: W3109916085
cites work: Parametric generation of conditional geological realizations using generative neural networks
cites work: Q5270493
cites work: Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
cites work: Geological facies modeling based on progressive growing of generative adversarial networks (GANs)
DOI: 10.1007/S11004-021-09934-0
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description: scientific article; zbMATH DE number 7457641