GAN River-I: A process-based low NTG meandering reservoir model dataset for machine learning studies

Author:

Sun ChaoORCID,Demyanov Vasily,Arnold DanielORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference15 articles.

1. Preservation and completeness of fluvial meandering deposits influenced by channel motions and overbank sedimentation;Grimaud;J. Geophys. Res. Earth Surf.,2022

2. MINES PARIS-PSL, FLUMY™ Process-based channelized reservoir models, v 5.912 (2020). https://flumy.minesparis.psl.eu/.

3. Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network;Laloy;Adv. Water Resour.,2017

4. Parametric generation of conditional geological realizations using generative neural networks;Chan;Comput. Geosci.,2019

5. TiGenerator: object-based training image generator;Maharaja;Comput. Geosci.,2008

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