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Water level at Roskreppfjorden.txt
Oct 8, 2021 - Roskrepp field measurements 19.09.2017
Plain Text - 3.0 KB - MD5: ffa55e38f1e80c6ce76fea4f215abed5
Replication Data for: Closure Law Model Uncertainty Quantification
Dec 5, 2021
Strand, Andreas; Kjølaas, Jørn; Bergstrøm, Trond H.; Steinsland, Ingelin; Hellevik, Leif R., 2021, "Replication Data for: Closure Law Model Uncertainty Quantification", https://doi.org/10.18710/3OJHDN, DataverseNO, V1
The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quant...
00_ReadMe.txt
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Plain Text - 828 B - MD5: fc098393ea1a0256a9d530355cb495fc
experiment.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 30.1 KB - MD5: 60d99f5b466ead54f16e330c1c51857b
gas_dominated.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 2.7 KB - MD5: 60ae3241fa833a7ffac649a68d5bc32d
liquid_dominated.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 3.0 KB - MD5: 877f2f0b9aaea09431332b1f2cf49607
main.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 1.5 KB - MD5: 2d2d3d40662efa4e48ef20028f012311
plot_functions.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 18.3 KB - MD5: 861f2454762e10c3c0551946bb8e864a
requirements.txt
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Plain Text - 113 B - MD5: 174169640994fd2beecb6cbd1068783e
scoring.py
Dec 5, 2021 - Replication Data for: Closure Law Model Uncertainty Quantification
Python Source Code - 7.7 KB - MD5: 63878dc33a591de38d8848deeba88f6a
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