Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks

Research article (Petroleum Science, 2019) · cited 156× · AI/ML
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Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks

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Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-geologically-realistic-3d-reservoir-facies-models-using-deep-learning-of-sedimentary-architecture-with-genera
MLA “Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-geologically-realistic-3d-reservoir-facies-models-using-deep-learning-of-sedimentary-architecture-with-genera.
BibTeX @misc{4ortxyz_generating-geologically-realistic-3d-reservoir-facies-models-using-deep-learning-of-sedimentary-architecture-with-genera_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks}}, year = {2026}, url = {https://4ort.xyz/entity/generating-geologically-realistic-3d-reservoir-facies-models-using-deep-learning-of-sedimentary-architecture-with-genera}, note = {Accessed: 2026-05-24}}
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