Bayesian model calibration and optimization of surfactant-polymer flooding
DOI10.1007/s10596-019-09858-zzbMath1427.65431OpenAlexW2966995611WikidataQ127367306 ScholiaQ127367306MaRDI QIDQ2009830
Soroush Aramideh, Piyush Pandita, Ilias Bilionis, Pratik Naik, Arezoo M. Ardekani
Publication date: 2 December 2019
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-019-09858-z
Markov chain Monte Carlomodel calibrationuncertainty quantificationpolynomial chaos expansionBayesian global optimizationBayesian history matchingsurfactant-polymer flooding model
Bayesian inference (62F15) Monte Carlo methods (65C05) Flows in porous media; filtration; seepage (76S05) Applications of statistics to physics (62P35) Applications to the sciences (65Z05)
Uses Software
Cites Work
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