Priv.-Doz. Dr.-Ing.

Sergey Oladyshkin

Deputy head
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49-711-685 60116

Business card (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.29

Office Hours

Upon agreement per e-mail

  1. 2019 (submitted)

    1. Xiao S, Oladyshkin S, Nowak W. Reliability analysis with conditional importance sampling based on adaptive Kriging. Reliability Engineering & System Safety. 2019;
    2. Xiao S, Reuschen S, Köse G, Oladyshkin S, Nowak W. Estimation of small failure probabilities based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing. 2019;
    3. Kröker I, Oladyshkin S. Arbitrary Multi-Resolution Multi-Wavelet-based Polynomial Chaos Expansion for Data-Driven Uncertainty Quantification. Reliability Engineering & System Safety. 2019;
  2. 2019

    1. Xiao S, Oladyshkin S, Nowak W. Reliability sensitivity analysis with subset simulation: application to a carbon dioxide storage problem. In: International Conference of Euro Asia Civil Engineering Forum. Stuttgart, Germany: International Conference of Euro Asia Civil Engineering Forum; 2019. (International Conference of Euro Asia Civil Engineering Forum).
    2. Köppel M, Franzelin F, Kroeker I, Oladyshkin S, Santin G, Wittwar D, et al. Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. Computational Geosciences. 2019;23(2):339–54.
  3. 2018

    1. Oladyshkin S, Guthke A, Mohamadi F, Kopmann R, Nowak W. Model selection under computational time constraints: application to river engineering. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    2. Oladyshkin S, Nowak W. Incomplete statistical information limits the utility of higher-order polynomial chaos expansions. Reliability Engineering & System Safety. 2018;169:137–48.
    3. Guthke A, Oladyshkin S, Mohammadi F, Kopmann R, Nowak W. Bayesian model selection under computational time constraints: application to river modeling. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    4. Mohammadi F, Kopmann R, Guthke A, Oladyshkin S, Nowak W. Bayesian selection of hydro-morphodynamic models under computational  time constraints. Advances in Water Resources [Internet]. 2018;117:53–64. Available from: http://www.sciencedirect.com/science/article/pii/S0309170817311909
  4. 2017

    1. Namhata A, Zhang L, Dilmore RM, Oladyshkin S, Nakles DV. Modeling Pressure Changes due to Migration of Fluids into the Above Zone Monitoring Interval of a Geologic Carbon Storage Site. International Journal of Greenhouse Gas Control. 2017;56:30–42.
    2. Agada SS, Geiger S, ElSheikh A, Oladyshkin S. Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs. Petroleum Geoscience. 2017;23(2):270–83.
    3. Fernandez B, Kopmann R, Oladyshkin S. Automated Calibration For Numerical Models Of Riverflow. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1026-3, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1026-3, 2017).
  5. 2016

    1. T. H. Mai, W. Nowak RK, Oladyshkin S. Uncertainty quantification for a hydro-morphodynamic model of river Rhine. In: General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-5701-3, 2016. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-5701-3, 2016).
    2. Oladyshkin S, Nowak W. Incomplete statistical information limits the utility of higher-order polynomial chaos expansions. In Lausanne Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
    3. Namhata A, Oladyshkin S, Dilmore RM, Zhang L, Nakles DV. Probabilistic Assessment of Above Zone Pressure Predictions at a Geologic Carbon Storage Site. Scientific Reports. 2016;6:39536.
    4. Schulte DO, Rühaak W, Oladyshkin S, Welsch B, Sass I. Optimization of Medium Deep Borehole Thermal Energy Storages. Energy Technology. 2016;(4):104–13.
    5. Zhang Y, Liu Y, Pau G, Oladyshkin S, Finsterle S. Evaluation of multiple reduced-order models to enhance confidence in global sensitivity analyses. International Journal of Greenhouse Gas Control. 2016;49:217–26.
    6. Schulte D, Rühaak W, Welsch B, Oladyshkin S, Sass I. Optimization of borehole heat exchanger arrays. Energy Storages. In: General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-8405-1, 2016. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-8405-1, 2016).
  6. 2015

    1. Agada S, Geiger S, Elsheikh AH, Mackay E, Oladyshkin S. Reduced Order Models for Rapid EOR Simulation in Fractured Carbonate Reservoirs. In: SPE Reservoir Simulation Symposium. Society of Petroleum Engineers; 2015. p. SPE-173205. (SPE Reservoir Simulation Symposium).
    2. Namhata A, Dilmore R, Oladyshkin S, Zhang L, Nakles DV. Modeling, Uncertainty Quantification and Sensitivity Analysis of Subsurface Fluid Migration in the Above Zone Monitoring Interval of a Geologic Carbon Storage Site. In: Fall Meeting 2015, Abstract: H51U-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2015. (Fall Meeting 2015, Abstract: H51U-05).
    3. A. Namhata, S. Oladyshkin RD, Nakles DV. Leakage Characterization through Above Zone Monitoring Interval: Uncertainty Quantification and Sensitivity Analysis. In Pittsburgh, PA, USA: The 14th Annual Conference on Carbon Capture Utilization and Storage; 2015.
    4. Hlawatsch M, Oladyshkin S, Weiskopf D. Employing Model Reduction for Uncertainty Visualization in the Context of CO$_2$ Storage Simulation. Visualization for Decision Making Under Uncertainty. In: SPE Reservoir Simulation Symposium. Chicago, IL, USA: IEEE VIS 2015 Conference; 2015. (SPE Reservoir Simulation Symposium).
  7. 2014

    1. Karajan N, Otto D, Oladyshkin S, Ehlers M. Application of the polynomial chaos expansion to approximate the homogenised response of the intervertebral disc. Biomechanics and modeling in mechanobiology. 2014;13(5):1065–80.
    2. Oladyshkin S, Schröder P, Class H, Nowak W. Stochastic model calibration for large-scale applications via Bayesian updating combined with arbitrary polynomial chaos. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    3. Oladyshkin S, de Barros HCRHWNFPJ, Ashraf M. Data-driven polynomial response surfaces as efficient tool for applied tasks under uncertainty. In Research Triangle Park, NC, USA: SAMSI Geosciences Applications Opening Workshop; 2014.
    4. Zhang Y, Oladyshkin S, Y YL, Pau GSH. Comparison of four reduced order models for uncertainty quantification in subsurface flow and transport problems. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    5. Elsheikh AH, Oladyshkin S, Nowak W, Christie M. Estimating the probability of CO_2 leakage using rare event simulation. In: ECMOR XIV-14th European conference on the mathematics of oil recovery. 2014. p. We B25. (ECMOR XIV-14th European conference on the mathematics of oil recovery).
    6. Namhata A, Oladyshkin S, Dilmore R, Nakles DV. Leakage Characterization through Above Zone Monitoring Interval: Uncertainty Quantification and Sensitivity Analysis. In Pittsburgh, PA, USA: The 14th Annual Conference on Carbon Capture Utilization and Storage; 2014.
    7. Oladyshkin S, Nowak W. Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributions. In Boulder, CO, USA: 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System; 2014.
    8. Franzelin F, Pflüger D, Oladyshkin S. Uncertainty quantification with adaptive sparse grids and its application to CO$_2$ storage. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    9. Zhang Y, Oladyshkin S, Y YL, Pau GSH. Comparison of Applying four Reduced Order Models to a Global Sensitivity Analysis. In: Fall Meeting 2014, Abstract: H31J-0761. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H31J-0761).
    10. Oladyshkin S. Efficient Modeling of Environmental Systems in the Face of Complexity and Uncertainty [PhD dissertation]. [http://elib.uni-stuttgart.de/opus/volltexte/2015/9523/]: Habilitationsschrift Nr. 231, Mitteilungsheft des Instituts für Wasserbau Nr. 231 (Habilitationsschrift) Institut für Wasserbau, Universität Stuttgart, 2014. ISBN: 978-3-942036-35-1; 2014.
  8. 2013

    1. Oladyshkin S, Class H, Nowak W. Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions:methodology and application to history matching for carbon dioxide storage in geological formations. Computational Geosciences. 2013;17(4):671–87.
    2. Oladyshkin S, Schröder P, Class H, Nowak W. Chaos Expansion Based Bootstrap Filter To Calibrate CO2 Injection Models. In: General Assembly 2013, Geophysical Research Abstracts 15: EGU2013-3214, 2013. Vienna, Austria: European Geosciences Union (EGU); 2013. (General Assembly 2013, Geophysical Research Abstracts 15: EGU2013-3214, 2013).
    3. Oladyshkin S, Nowak W. On polynomial chaos expansions under incomplete statistical input information. In München, Germany: Euromech colloquium 543; 2013.
    4. Ashraf M, Oladyshkin S, Nowak W. Geological storage of CO2: global sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion. International Journal of Greenhouse Gas Control. 2013;19:704–19.
    5. Flemisch B, Class H, Darcis M, Faigle B, Hommel J, Kissinger A, et al. Coupling Approaches, Risk Assessment and History Matching for CO$_2$ Storage Modeling. In Granada, Spain: Plenary lecture; 2013.
  9. 2012

    1. Ashraf M, Oladyshkin S, Nowak W. Geological storage of CO$_2$: sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9243, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9243, 2012).
    2. Oladyshkin S, Nowak W. Polynomial Response Surfaces for Probabilistic Risk Assessment and Risk Control via Robust Design (Book). Luo Y, editor. Novel Approaches and Their Applications in Risk Assessment, ISBN: 978-953-51-0519-0 [Internet]. 2012; Available from: /brokenurl#www.intechopen.com/books/
    3. Walter L, Binning PJ, Oladyshkin S, Flemisch B, Class H. Modeling concepts to address risk of brine infiltration into shallow groundwater resources. In Urbana-Champaign, IL, USA: XIX. International Conference on Computational Methods in Water Resources (CMWR); 2012.
    4. Walter L, Binning PJ, Oladyshkin S, Flemisch B, Class H. Brine migration resulting from CO$_2$ injection into saline aquifers - An approach to risk estimation including various levels of uncertainty. International Journal of Greenhouse Gas Control. 2012;9:495–506.
    5. Oladyshkin S, Nowak W. Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributions. In Boulder, CO, USA: 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System; 2012.
    6. Oladyshkin S, Panfilov M. Open thermodynamic model for compressible multicomponent two-phase flow in porous media. Journal of Petroleum Science and Engineering. 2012;81:41–8.
    7. Oladyshkin S, Nowak W. Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliability Engineering and System Safety. 2012;106:179–90.
    8. Oladyshkin S, de Barros FPJ, Nowak W. Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology. Advances in Water Resources. 2012;37:10–22.
    9. Walter L, Kissinger A, Oladyshkin S, Helmig R. Methods for evaluating competitive use of the subsurface - for example, the influence of CCS in groundwater. In TU, München, Germany: Keynote lecture, Exploratory Workshop: An integrated approach to water research and technology development; 2012.
  10. 2011

    1. Walter L, Class H, Oladyshkin S, Flemisch B, Helmig R. Influence of Dirichlet boundary conditions on risk assessment for CO$_2$ storage in geological formations. In Urbana-Champaign, IL, USA: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    2. Oladyshkin S, Class H, Helmig R, Nowak W. Bayesian updating on arbitrary polynomial chaos expansion: application to carbon dioxide storage in geological formations. In Poitiers, France: Invited lecture: Pprime CNRS, CEAT; 2011.
    3. Oladyshkin S, Class H, Helmig R, Nowak W. Modeling of underground carbon dioxide storage: data-driven robust design and probabilistic risk assessment. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    4. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven framework for history matching: application to carbon dioxide storage in geological formations. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11137, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11137, 2011).
    5. Walter L, Oladyshkin S, Class H, Darcis M, Helmig R. A study on pressure evolution in a channel system during CO$_2$ injection. Energy Procedia. 2011;4:3722–9.
    6. Enzenhöfer R, Geiges A, Koch J, Leube P, Mehne J, Oladyshkin S, et al. Zurück in die Unsicherheit - Stochastische Modellierung von Hydrosystemen. In Stuttgart, Germany: LH2-Kolloquium; 2011.
    7. Walter A, Binning PJ, Class H, Flemisch B, Oladyshkin S. Brine migration due to CO2 injection into saline aquifers? A consistent approach to risk estimation including different levels of uncertainty. In Bergen, Norway: Workshop: IGeMS; 2011.
    8. de Barros FPJ, Oladyshkin S, Nowak W. An integrative data-adaptive approach for global sensitivity analysis: application to subsurface flow and transport. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    9. Oladyshkin S, Panfilov M. Hydrogen penetration in water through porous medium: application to a radioactive waste storage site. Environmental Earth Sciences. 2011;64(4):989–99.
    10. Oladyshkin S, Class H, Helmig R, Nowak W. An Integrative Approach to Robust Design and Probabilistic Risk Assessment for CO$_2$ Storage in Geological Formations. Computer Geosciences. 2011;15(3):565–77.
    11. Oladyshkin S, Class H, Helmig R, Nowak W. A concept for data-driven probabilistic risk assessment and application to carbon dioxide storage in geological formations. Advances in Water Resources. 2011;34:1508–18.
    12. Oladyshkin S, Class H, Helmig R, Nowak W. Efficient Bayesian updating with PCE-based particle filters based on polynomial chaos expansion and CO$_2$ storage. In: Fall Meeting 2011, Abstract: GC51A-0928. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: GC51A-0928).
  11. 2010

    1. Oladyshkin S, Class H, Helmig R, Nowak W, de Barros FPJ, Ashraf M. Data-driven polynomial response surfaces as efficient tool for applied tasks under uncertainty. In Research Triangle Park, NC, USA: SAMSI Geosciences Applications Opening Workshop; 2010.
    2. Walter L, Oladyshkin S, Class H, Darcis M, Helmig R. A study on pressure evolution in a sand channel system during CO$_2$ injection. In Amsterdam, The Netherlands: Greenhouse Gas Control Technologies (GHGT10); 2010.
    3. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven framework for modeling of CO$_2$ storage: probabilistic risk assessment, robust design and history matching. In Princeton, NJ, USA: Workshop: Scale of resolution, model complexity and solution approaches for CO2 storage problems; 2010.
    4. Oladyshkin S, Class H, Helmig R, Nowak W. Chaos expansion for uncertainty quantification of multiphase flow in CO$_2$ storage reservoirs. In Nancy, France: JEMP 2010; 2010.
    5. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven robust design and probabilistic risk assessment: application to underground carbon dioxide storage. In: Fall Meeting 2010, Abstract: H41L-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-03).
    6. Oladyshkin S, Class H, Helmig R, Nowak W. Probabilistic risk assessment for CO$_2$ storage in geological formations: robust design and support for decision making under uncertainty. In: General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-3559, 2010. Vienna, Austria: European Geosciences Union (EGU); 2010. (General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-3559, 2010).
    7. Oladyshkin S, Class H, Hofmann R, Nowak W. Highly efficient tool for probabilistic risk assessment of CCS joint with injection design. In Barcelone, Spain: XVIII. International Conference on Computational Methods in Water Resources (CMWR); 2010.
  12. 2009

    1. Oladyshkin S, Nowak W, Helmig R. Joint design and probabilistic risk assessment for CO$_2$ storage by integral probabilistic collocation method. In Stuttgart, Germany: International conference on Non-linearities and Upscaling in Porous Media (NUPUS); 2009.
  13. 2008

    1. Oladyshkin S, Royer JJ, Panfilov M. Effective solution through the streamline technique and HT-splitting for the $3$D dynamic analysis of the compositional flows in oil reservoirs. Transport in Porous Media. 2008;74(3):311–29.
    2. Oladyshkin S. HT-splitting and open thermodynamic model for compressible multicomponent two-phase flow in porous media. In Nancy, France: EUROMECH Colloquium 499, Nonlinear Mechanics of Multiphase Flow in Porous Media: Phase Transitions, Instability, Non equilibrium, Modelling; 2008.
    3. Oladyshkin S, Panfilov M. Differential split thermodyamic model for gasliquid compositional flow. In Lyon, France: MoMaS Journ’ees Multiphasiques; 2008.
  14. 2007

    1. Oladyshkin S, Panfilov M. Hydro-thermodynamics of multi-compositional flow in porous media: modelling of hydrogen-water flow with mass exchange in an underground storage. In St-Raphael, France: Mini-cours. GdR MoMaS, Modélisation Numérique d’Écoulements Multiphasiques en Milieux Poreux : Application au Transfert des Gaz autour du Stockage de Déchets Radioactifs; 2007.
    2. S. Oladyshkin J-JR, Panfilov M. Modelling Compositional Flows in Oil Reservoirs using gOcad Streamline Simulator and HT-Splitting Technique. In: 27th Gocad Meeting. Nancy, France; 2007. (27th Gocad Meeting).
    3. Oladyshkin S, Panfilov M. Limit thermodynamic model for compositional gas-liquid systems moving in a porous medium. Transport in Porous Media. 2007;70(2):147–65.
    4. Oladyshkin S, Panfilov M. Streamline splitting between thermodynamics and hydrodynamics in compositional gas-liquid flow through porous media. Comptes rendus de l’Academie des sciences Mecanique. 2007;335(1):7–12.
    5. Oladyshkin S, Skachkov S, Panfilova I, Panfilov M. Upscaling fractured media and streamline HT-splitting in compositional reservoir simulation. Oil & Gas Science and Technology. 2007;62(2):137–46.
  15. 2006

    1. Oladyshkin S, M. Panfilov IP, Skachkov S. Upscaling the macro-fractures in compositional reservoir simulation: streamline HT-splitting and analytical boundary method. In Rueil-Malmaison, France: Int. Conf. Quantitative Methods for Reservoir Characterization. IFP,; 2006.
    2. Oladyshkin S, Panfilov M. Splitting the Thermodynamics and Hydrodynamics in Compositional Gas-Liquid Flow through Porous Reservoirs. In: ECMOR-X :10th European Conference on the Mathematics of Oil Recovery P B030. Amsterdam, Netherlands; 2006. p. 10. (ECMOR-X :10th European Conference on the Mathematics of Oil Recovery. P. B030).
    3. Oladyshkin S, Panfilov M. Gas-liquid flow in porous media, HT-splitting and asymptotic solutions. In Nancy, France: The 4th Seminar “Sciences and Engineering of Resources, Techniques, Produced, Environment”; 2006.
    4. S. Oladyshkin, M. Panfilov IP, Shandrygin A. Two-phase flow of a retrograde mixture in the porous media: non-equlibrium effects and splitting the thermodynamlics and hydrodynamics. In: IX Russian Congress of Theoretical and Applied Mechanics. Nizhniy Novgorod, Russia; 2006. p. 140. (IX Russian Congress of Theoretical and Applied Mechanics; vol. 2).
    5. S. Oladyshkin IP, Panfilov M. Non-Equlibrium Two-Velocity Effects in Gas-Condensate Flow through Porous Media. In: ECMOR-X :10th European Conference on the Mathematics of Oil Recovery P B029. Amsterdam, Netherlands; 2006. p. 10. (ECMOR-X :10th European Conference on the Mathematics of Oil Recovery P. B029).
    6. Oladyshkin S, M. Panfilov IP, Skachkov S. Streamline splitting the thermo- and hydrodynamics in compositional gas-liquid flow through porous media and application to hydrogen - water behaviour in radioactive waste deposits. In Pau, France: GdR MoMaS, Modélisation Numérique d’Écoulements Multiphasiques en Milieux Poreux : Application au Transfert des Gaz autour du Stockage de Déchets Radioactifs; 2006.
  16. 2005

    1. S. Oladyshkin MP. Modeling of two-phase macroflow with phase transitions and contract properties. Transactions of the Russian Academy of Engineering Sciences. 2005;5:34–6.
    2. Oladyshkin S, Panfilov M. Asymptotic analytical model of gas-condensate flow in porous media. In: 3rd Seminar “Sciences and Engineering of Resources, Techniques, Production, Environment". Nancy, France; 2005. p. 276–83. (3rd Seminar “Sciences and Engineering of Resources, Techniques, Production, Environment").
    3. Oladyshkin S, Panfilov M. Two-phase flow with phase transitions in porous media: instability of stationary solutions and a semi-stationary model. In: Third Biot Conference on Poromechanics. Norman, OK, USA; 2005. p. 529–35. (Third Biot Conference on Poromechanics; vol. Procs POROMECHANICS-3, ISBN: 0415380413).
    4. Oladyshkin S, Panfilov M. Asymptotic semi-stationary contrast model of gas-liquid flow with phase transitions in porous media. In Avignon, France: Int. Conference SIAM : Society for Industrial and Applied Mathematics,  “Mathematical and Computational Issues in the Geosciences”; 2005. p. 35.
  17. 2003

    1. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev O. Invariant immersing method applied to the problem to thermocapillary convection a viscous fluid in the plane channel. Transactions of the Russian Academy of Engineering Sciences Ser Applied Mathematics and Mechanics. 2003;4:26–31.
    2. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. Influence of the Marangoni thermocapillary effect on thermal distribution in the modelling environment with space conditions. In Ekaterinbourg, Russia: UrO RAN; 2003. p. 52.
    3. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. Influence of Marangoni forces on distribution of temperature in the viscous fluid filling a two-sided corner. In Moscow-Izhevsk, Russia: The 3 international conference “Mathematics. Computer. Education”; 2003. p. 90.
  18. 2002

    1. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. The simulation of viscous fluid convection in the plane channel under the thermocapillary forces action. In Moscow-Dubna, Russia: The 3 international conference “Mathematics. Computer. Education”; 2002. p. 121.
    2. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev O. Modeling of temperature and velocity field inside viscous fluid of finite thermoconductivity, moving inside a corner with free surface, under the action of Marangoni forces. Transactions of the Russian Academy of Engineering Sciences Ser Applied Mathematics and Mechanics. 2002;79–88.
    3. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. Temperature crisis in the viscous fluid of finite thermoconductivity, which motion under the action of Marangoni forces. In Sarov, Russia: The VII  N. Novgorod session of young scientists (section of mathematics and mathematical modelling); 2002. p. 58–9.
    4. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. Algorithm of invariant immersing as applied to thermocapillary convection a viscous liquid in a plane channel. In N. Novgorod, Russia: The VII computer-based conference «Information technologies in science, designing and manufacture»; 2002. p. 9.
  19. 2001

    1. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. The simulation of viscous fluid convection in the plane channel under the thermocapillary forces action. In N. Novgorod, Russia: The 3 international scientific-practical conference on graphic information technologies and systems (COGRAPH); 2001. p. 13.
    2. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev OR. Marangoni effect, when the surface tension coefficient depends non-linearly on the temperature. In Ekaterinburg, Russia: 3 All-Russian congress on theoretical and applied mechanics. Ural department of Russian Academy of Sciences; 2001. p. 15.
    3. S. Oladyshkin, N.N. Bobkov YPG, Kozyrev O. The numerical algorithm development in the problem of thermocapillary convection under the Marangoni forces action. Transactions of the Russian Academy of Engineering Sciences. 2001;2:28–39.

07/2002 Applied Mathematics, State University of N. Novgorod (Russia)
09/2002 - 08/2003 Researcher, State University of N. Novgorod (Russland)
10/2003 - 12/2008 Researcher, University of Lorraine, Nancy (France)
10/2006 PhD, University of Lorraine, Nancy (France)
Since 02/2009 Researcher, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart
02/2014 Habilitation, University of Stuttgart

Stochastic modeling of underground flow and transport processes

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