Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks
Abstract This paper proposes a novel approach for generating 3-dimensional complex geological facies models based on deep generative models. It can reproduce a wide range of conceptual geological models while possessing the flexibility necessary to honor constraints such as well data. Compared with...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
KeAi Communications Co., Ltd.
2019
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/2d915f0f0add477db016aee0965eb3c5 |
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