The goal of this project is to formulate and conduct benchmarks which assist in the validation of several computational models developed within the proposed CRC. Here, the main challenge arises from the possibly large uncertainties that are present in the experimental data as well as in the simulation results. A so-called validation metric which compares system response quantities of an experiment with the ones from a computational model has to integrate these uncertainties in a rigorous way. In the proposed project, such validation metrics will be developed by means of a Bayesian validation framework that incorporates parameter and conceptual uncertainty.
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The 11th SPE Comparative Solution Project: Submitted Data
Mar 22, 2025
Flemisch, Bernd; Nordbotten, Jan Martin; Fernø, Martin; Lie, Knut-Andreas; Kovscek, Anthony; Both, Jakub; Møyner, Olav; Sandve, Tor Harald; Di, Chaojie; Chen, Zhangxing; Gasanzade, Firdovsi; Bauer, Sebastian; Green, Christopher; Sayyafzadeh, Mohammad; Ghomian, Yousef; Ruby, Nicolas; Hadjisotiriou, George; Voskov, Denis; Franc, Jacques; Kachuma, Dickson; DING, Didier Yu; Flauraud, Eric; Youssef, Abdallah A.; Salinas, Pablo; Orsini, Paolo; Landa-Marbán, David; Lye, Kjetil Olsen; Torben, Jakob; Ahusborde, Etienne; Kern, Michel; Nole, Michael; Hammond, Glenn; Solovsky, Jakub; Firoozabadi, Abbas; Giddins, Marie Ann; Wendel, Kai; Koch, Timo; Class, Holger; Turner, Adam; Huang, Hai; Element, David; Fernandes, Bruno Ramon Batista; Krishnamurthy, Prasanna, 2025, "The 11th SPE Comparative Solution Project: Submitted Data", https://doi.org/10.18419/DARUS-4750, DaRUS, V1
Data submitted to the 11th Society of Petroleum Engineers Comparative Solution Project. Contains the sparse and dense data files of 77 results submitted by 18 participating groups for three cases SPE11A-C. Each zip file contains one such result, where the name speX_NAMEY.zip indicates Result Y for Case SPE11X of Participant NAME. Unpacking a result...
BayesValidRox 2.0.0
Mar 4, 2025
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda; Lacheim, Alina, 2025, "BayesValidRox 2.0.0", https://doi.org/10.18419/DARUS-4752, DaRUS, V1
BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.0.0 improves the modularity and uniformity of the package and introduces template classes for surrogate models and methods for generating posterior samples.(2025-02-05)
BayesValidRox 1.1.0
Dec 13, 2024
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda, 2024, "BayesValidRox 1.1.0", https://doi.org/10.18419/DARUS-4613, DaRUS, V1
Release 1.1.0 of BayesValidRox. BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. (2024-07-18)
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