Comparaison des méthodes d’inversion géostatistiques et d’apprentissage profond pour la caractérisation de l’architecture de la zone source DNAPL
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s10040-023-02606-9.pdf
Reference50 articles.
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3. Arshadi M, De Paolis Kaluza MC, Miller EL, Abriola LM (2020) Subsurface source zone characterization and uncertainty quantification using discriminative random fields. Water Resour Res 56(3):e2019WR026481
4. Bear J (1972) Dynamics of fluids in porous media. Elsevier, New York, 764 pp
5. Benoit N, Marcotte D, Molson J (2021) Stochastic correlated hydraulic conductivity tensor calibration using gradual deformation. J Hydrol 594:125880
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