| Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion S Oladyshkin, W Nowak Reliability Engineering & System Safety 106, 179-190, 2012 | 489 | 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 | 127 | 2011 |
| Reliability analysis with stratified importance sampling based on adaptive Kriging S Xiao, S Oladyshkin, W Nowak Reliability Engineering & System Safety 197, 106852, 2020 | 104 | 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 | 104 | 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 | 75 | 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 | 61 | 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 | 52 | 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 | 50* | 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 | 45 | 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 | 43 | 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 | 33 | 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 | 29 | 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 | 28 | 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 | 28 | 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 | 24 | 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 | 23 | 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 | 21 | 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 | 21 | 2018 |
| 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 | 20 | 2020 |
| Efficient modeling of environmental systems in the face of complexity and uncertainty, 2014 S Oladyshkin | 20 | |
Wolfgang NowakStochastic Modelling of Hydrosystems, Universität Stuttgart在 iws.uni-stuttgart.de 的电子邮件经过验证
