Sergey Oladyshkin
Cited by
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Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion
S Oladyshkin, W Nowak
Reliability Engineering & System Safety 106, 179-190, 2012
A concept for data-driven uncertainty quantification and its application to carbon dioxide storage in geological formations
S Oladyshkin, H Class, R Helmig, W Nowak
Advances in Water Resources 34 (11), 1508-1518, 2011
Reliability analysis with stratified importance sampling based on adaptive Kriging
S Xiao, S Oladyshkin, W Nowak
Reliability Engineering & System Safety 197, 106852, 2020
An integrative approach to robust design and probabilistic risk assessment for CO2 storage in geological formations
S Oladyshkin, H Class, R Helmig, W Nowak
Computational Geosciences 15, 565-577, 2011
Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology
S Oladyshkin, FPJ De Barros, W Nowak
Advances in Water Resources 37, 10-22, 2012
Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in …
S Oladyshkin, H Class, W Nowak
Computational Geosciences 17, 671-687, 2013
Brine migration resulting from CO2 injection into saline aquifers–An approach to risk estimation including various levels of uncertainty
L Walter, PJ Binning, S Oladyshkin, B Flemisch, H Class
International Journal of Greenhouse Gas Control 9, 495-506, 2012
Geological storage of CO2: Application, feasibility and efficiency of global sensitivity analysis and risk assessment using the arbitrary polynomial chaos
M Ashraf, S Oladyshkin, W Nowak
International Journal of Greenhouse Gas Control 19, 704-719, 2013
Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs
S Agada, S Geiger, A Elsheikh, S Oladyshkin
Petroleum Geoscience 23 (2), 270-283, 2017
Optimization of medium‐deep borehole thermal energy storage systems
DO Schulte, W Rühaak, S Oladyshkin, B Welsch, I Sass
Energy Technology 4 (1), 104-113, 2016
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario
M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ...
Computational Geosciences 23, 339-354, 2019
Chaos expansion based bootstrap filter to calibrate co2 injection models
S Oladyshkin, P Schröder, H Class, W Nowak
Energy Procedia 40, 398-407, 2013
The connection between Bayesian inference and information theory for model selection, information gain and experimental design
S Oladyshkin, W Nowak
Entropy 21 (11), 1081, 2019
Incomplete statistical information limits the utility of high-order polynomial chaos expansions
S Oladyshkin, W Nowak
Reliability Engineering & System Safety 169, 137-148, 2018
Application of computed tomography (CT) in geologic CO2 utilization and storage research: A critical review
M Gan, L Zhang, X Miao, S Oladyshkin, X Cheng, Y Wang, Y Shu, X Su, ...
Journal of Natural Gas Science and Engineering 83, 103591, 2020
Estimation of small failure probabilities based on thermodynamic integration and parallel tempering
S Xiao, S Reuschen, G Köse, S Oladyshkin, W Nowak
Mechanical Systems and Signal Processing 133, 106248, 2019
Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory
S Oladyshkin, F Mohammadi, I Kroeker, W Nowak
Entropy 22 (8), 890, 2020
Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model
F Beckers, A Heredia, M Noack, W Nowak, S Wieprecht, S Oladyshkin
Water Resources Research 56 (7), e2019WR026966, 2020
Bayesian selection of hydro-morphodynamic models under computational time constraints
F Mohammadi, R Kopmann, A Guthke, S Oladyshkin, W Nowak
Advances in water resources 117, 53-64, 2018
Modeling changes in pressure due to migration of fluids into the Above Zone Monitoring Interval of a geologic carbon storage site
A Namhata, L Zhang, RM Dilmore, S Oladyshkin, DV Nakles
International Journal of Greenhouse Gas Control 56, 30-42, 2017
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