A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems-Reference-Cited by-同舟云学术

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A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems

Published:2024-07 Issue: Volume:189 Page:104726
ISSN:0309-1708
Container-title:Advances in Water Resources
language:en
Short-container-title:Advances in Water Resources

Author:

Lauzon Dany^ORCID

Funder

Polytechnique Montréal

Publisher

Elsevier BV

Reference53 articles.

1. A review of surrogate models and their application to groundwater modeling;Asher;Water Resour. Res.,2015

2. Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer;Ashworth;Adv. Water Resour.,2022

3. Geostatistical Methods for Reservoir Geophysics;Azevedo,2017

4. Characterization of groundwater contamination: A transformer-based deep learning model;Bai;Adv. Water Resour.,2022

5. Random mixing: An approach to inverse modeling for groundwater flow and transport problems;Bárdossy;Transp. Porous Media,2015

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