Sub-core permeability inversion using positron emission tomography data—Ensemble Kalman Filter performance comparison and ensemble generation using an advanced convolutional neural network-Reference-Cited by-同舟云学术

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Sub-core permeability inversion using positron emission tomography data—Ensemble Kalman Filter performance comparison and ensemble generation using an advanced convolutional neural network

Published:2024-03 Issue: Volume:185 Page:104637
ISSN:0309-1708
Container-title:Advances in Water Resources
language:en
Short-container-title:Advances in Water Resources

Author:

Huang Zitong^ORCID,Zahasky Christopher^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Reference94 articles.

1. The ensemble Kalman filter in reservoir engineering–a review;Aanonsen;SPE J. - SPE J.,2009

2. Solving ill-posed inverse problems using iterative deep neural networks;Adler;Inverse Problems,2017

3. Estimating three-dimensional permeability distribution for modeling multirate coreflooding experiments;Anto-Darkwah;Sustainability (Switzerland),2023

4. Scripting MODFLOW model development using Python and FloPy;Bakker;Groundwater,2016

5. On the use of deep learning for computational imaging;Barbastathis;Optica,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Positron emission tomography quantifies crystal surface reactivity during sorption reactions;Chemical Geology;2024-10

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