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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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
KeAi Communications Co., Ltd.
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/2d915f0f0add477db016aee0965eb3c5 |
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