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Disambiguation of "Oladyshkin, S."

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Kalibrierung von Rechennetzmodellen anhand probabilistischer Bayes‘scher Verfahren

, , , and . DWGV energie wasser-praxis, (2019)

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apl. Prof. Dr. Sergey Oladyshkin University of Stuttgart

S. Schumann

S. Seemann

S. Wartzack

Boettinger S

 

Other publications of authors with the same name

Leakage Characterization through Above Zone Monitoring Interval: Uncertainty Quantification and Sensitivity Analysis, , , and . Pittsburgh, PA, USA, The 14th Annual Conference on Carbon Capture Utilization and Storage, (April 2014)Differential split thermodyamic model for gasliquid compositional flow, and . Lyon, France, MoMaS Journ'ees Multiphasiques, (September 2008)Physics Informed Neural Network for porous media modelling, , and . Stuttgart, Germany, InterPore German Chapter Meeting 2021, (February 2021)Geological storage of CO$_2$: sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion, , and . 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 expansions, and . Lausanne Switzerland, SIAM Conference on Uncertainty Quantification, (April 2016)Application of the polynomial chaos expansion to approximate the homogenised response of the intervertebral disc, , , and . Biomechanics and modeling in mechanobiology, 13 (5): 1065-1080 (2014)Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributions, and . Boulder, CO, USA, 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System, (December 2012)Asymptotic semi-stationary contrast model of gas-liquid flow with phase transitions in porous media, and . page 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 uncertainty, , , , , and . Research Triangle Park, NC, USA, SAMSI Geosciences Applications Opening Workshop, (September 2010)Upscaling the macro-fractures in compositional reservoir simulation: streamline HT-splitting and analytical boundary method, , and . Rueil-Malmaison, France, Int. Conf. Quantitative Methods for Reservoir Characterization. IFP,, (2006)