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Zurück in die Unsicherheit - Stochastische Modellierung von Hydrosystemen

R. Enzenhöfer, A. Geiges, J. Koch, P. Leube, J. Mehne, S. Oladyshkin, und W. Nowak. Stuttgart, Germany, LH2-Kolloquium, (Oktober 2011)

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apl. Prof. Dr. Sergey Oladyshkin University of Stuttgart

S. Schumann

S. Seemann

S. Wartzack

Boettinger S

Weitere Publikationen von Autoren mit dem selben Namen

Physics Informed Neural Network for porous media modellingT. Praditia, S. Oladyshkin, und W. Nowak. Stuttgart, Germany, InterPore German Chapter Meeting 2021, (Februar 2021)Application of the polynomial chaos expansion to approximate the homogenised response of the intervertebral discN. Karajan, D. Otto, S. Oladyshkin, und M. Ehlers. Biomechanics and modeling in mechanobiology, 13 (5): 1065-1080 (2014)Geological storage of CO$_2$: sensitivity analysis and risk assessment using arbitrary polynomial chaos expansionM. Ashraf, S. Oladyshkin, und W. Nowak. General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9243, 2012, Vienna, Austria, European Geosciences Union (EGU), (April 2012)Incomplete statistical information limits the utility of higher-order polynomial chaos expansionsS. Oladyshkin, und W. Nowak. Lausanne Switzerland, SIAM Conference on Uncertainty Quantification, (April 2016)Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributionsS. Oladyshkin, und W. Nowak. Boulder, CO, USA, 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System, (Dezember 2012)Upscaling the macro-fractures in compositional reservoir simulation: streamline HT-splitting and analytical boundary methodS. Oladyshkin, I. M. Panfilov, und S. Skachkov. Rueil-Malmaison, France, Int. Conf. Quantitative Methods for Reservoir Characterization. IFP,, (2006)Asymptotic semi-stationary contrast model of gas-liquid flow with phase transitions in porous mediaS. Oladyshkin, und M. Panfilov. Seite 35. Avignon, France, Int. Conference SIAM : Society for Industrial and Applied Mathematics, “Mathematical and Computational Issues in the Geosciences”, (2005)Data-driven polynomial response surfaces as efficient tool for applied tasks under uncertaintyS. Oladyshkin, H. Class, R. Helmig, W. Nowak, F. de Barros, und M. Ashraf. Research Triangle Park, NC, USA, SAMSI Geosciences Applications Opening Workshop, (September 2010)Leakage Characterization through Above Zone Monitoring Interval: Uncertainty Quantification and Sensitivity AnalysisA. Namhata, S. Oladyshkin, R. Dilmore, und D. Nakles. Pittsburgh, PA, USA, The 14th Annual Conference on Carbon Capture Utilization and Storage, (April 2014)Differential split thermodyamic model for gasliquid compositional flowS. Oladyshkin, und M. Panfilov. Lyon, France, MoMaS Journ'ees Multiphasiques, (September 2008)