Réseaux adversaires génératifs à croissance progressive utilisant le rapport de conditionnement pour la modélisation des faciès dans les aquifères complexes

Author:

Redoloza Fleford,Li LiangpingORCID,Davis Arden

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Water Science and Technology

Reference36 articles.

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3. Bao J, Li L, Davis A (2022) Variational autoencoder or generative adversarial networks? a comparison of two deep learning methods for flow and transport data assimilation. Math Geosci 54:1017–1042

4. Bao J, Li L, Redoloza F (2020) Coupling ensemble smoother and deep learning with generative adversarial networks to deal with non-gaussianity in flow and transport data assimilation. J Hydrol 590:125443

5. Chan S, Elsheikh AH (2018) Parametric generation of conditional geological realizations using generative neural networks. arXiv preprint. http://arxiv.org/abs/1807.05207

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