Konferenzen

Stochastische Simulation und Sicherheitsforschung für Hydrosysteme

  1. 2019 (submitted)

    1. Vera-Hofmann G, Haas J, Moreno-Leiva S, Díaz F, Eltrop L. How to plan a full-renewable multi-vector energy system to be resilient? Vol. Solar World Congress. Santiago, Chile; 2019.
    2. Gonzalez P, Haas J, Rahmann C, Alvarez R, Retanz C. Generation expansion planning considering storage systems and inertial constraints. Vol. Solar World Congress. Santiago, Chile; 2019.
  2. 2019 (accepted)

    1. Moreno-Leiva S, Haas J, Junne T, Kracht W, Eltrop L. Strategic scheduling of maintenance in copper processing as a flexibility option for highly renewable energy systems: a sample of a solar-paced design. In: Annual Conference of Metallurgists. Vancouver, BC, Canada; 2019. (Annual Conference of Metallurgists).
  3. 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. Pamparana G, Kracht W, Ortiz J, Haas J. Understanding the effect of ore hardness variability on the integration of solar energy into the operation of a semi-autogenous grinding mill. In: Conference of Metallurgist / Copper. Vancouver, BC, Canada: Conference of Metallurgist / Copper; 2019. (Conference of Metallurgist / Copper).
    3. Junne T, Haas J, Moreno S, Naegler T, Nowak W. Considering Ecological Sustainability in Planning the Future Electricity Supply of Chile – How Much More Does it Cost? In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2019.
    4. González-Nicolás A, Nowak W, Sinsbeck M, Schwientek M. Optimal scheduling and event-based sampling: development and demonstration for investigating the nitrate characteristics of a headwater catchment. In: General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019. Vienna, Austria: European Geosciences Union (EGU); 2019. (General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019).
  4. 2018

    1. Ejaz F, Fatkhutdinov A, Stefan C, Usman M. Integration of raster based irrigation and groundwater for water management in Punjab, Pakistan: A modeling & GIS based approach. In Riyadh, Saudi Arabia: 8th International Conference on Water Resources and Arid Environments; 2018.
    2. González-Nicolás A, Nowak W, Shäfer A. Optimization of strategies to collect data of the field. In Tübingen, Germany: 1st Science Meeting within CAMPOS project; 2018.
    3. Schäfer-Rodrigues-Silva A, Seitz T, Guthke A, Nowak W. Working with multi-model ensembles - what makes models differ and how can we visualize ensembles? In Tübingen, Germany: Seminar of the Research Training Group “Integrated Hydrosystem Modelling”; 2018.
    4. Haas J, Nowak W. What technical phenomena are relevant when designing the optimal energy storage mix? In Stuttgart, Germany: 2nd International Conference on Simulation Technology; 2018.
    5. Schäfer-Rodrigues-Silva A, Guthke A, Nowak W. The importance of model similarity in multi-model problems. In Stuttgart, Germany: Meeting of the international doctoral program “Environment Water”; 2018.
    6. Schäfer-Rodrigues-Silva A, Nowak W. What is a legitimate model complexity? In Tübingen, Germany: Meeting of the CRC 1253 CAMPOS - Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale; 2018.
    7. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (Integrated Hydrosystem Modelling, Poster Presentation). In: Integrated Hydrosystem Modelling, Poster. Tübingen, Germany: Research Training Group “Integrated Hydrosystem Modelling”; 2018. (Integrated Hydrosystem Modelling, Poster).
    8. Moreno S, Haas J, Junne T, Eltrop L. A green copper concept: on the design of a full-renewable energy supply for its production. In: International Symposium on Energy System Optimization. Karlsruhe, Germany: ISESO; 2018. (International Symposium on Energy System Optimization).
    9. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (GRS, Oral Presentation). In: GRS: Flow and Transport in Permeable Media, Understanding Complexity for Prediction in Permeable Media, Oral. Newry, ME, USA: Gordon Research Conferences (GRC); 2018. (GRS: Flow and Transport in Permeable Media, Understanding Complexity for Prediction in Permeable Media, Oral).
    10. Haas J, Nowak W, Cebulla F, Rahmann C, Palma-Behnke R. A multi-service approach for finding the optimal energy storage mix for renewable systems. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2018.
    11. Ortiz J, Kracht W, Pamparana G, Haas J. Integrating uncertainty in rock hardness and solar irradiation in the optimization of a SAG mill energy system. In: 12th International Conference on Geostatistics for Environmental Applications (geoENV). Belfast, North Ireland; 2018. (12th International Conference on Geostatistics for Environmental Applications (geoENV)).
    12. Rodriguez-Pretelin A, Nowak W. Reducing the influence of transient flow for improved Wellhead Protection: An engineered optimal pumping-injection management solution. In Stuttgart, Germany: 2nd International Conference on Simulation Technology; 2018.
    13. Schäfer-Rodrigues-Silva A, Seitz T, Guthke A, Nowak W. Quantifying and visualizing similarity in multi-model ensembles. In Cargese, France: Summer school on “Flow and Transport in Porous and Fractured media”; 2018.
    14. Schäfer-Rodrigues-Silva A, Guthke A, Nowak W. Quantifying similarity in multi-model ensembles. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling; 2018.
    15. Guthke A. A Bayesian take on model choice uncertainty: Statistical tools for model evaluation, selection and combination. In Karlsruhe, Germany: KIT, Institut für Wasser und Gewässerentwicklung, Lehrstuhl für Hydrologie; 2018.
    16. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (GRC, Poster Presentation). In: GRC: Flow and Transport in Permeable Media, From Pore-Scale Physics to Geologic-Scale Processes, Poster. Newry, ME, USA: Gordon Research Conferences (GRC); 2018. (GRC: Flow and Transport in Permeable Media, From Pore-Scale Physics to Geologic-Scale Processes, Poster).
    17. Thoms A, Chow R, Steelman C, Nowak W, Parker B. Simulating Hyporheic Exchange in Bedrock Rivers - The Eramosa Bedrock River Field Site. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    18. Höge M, Wöhling T, Nowak W. Model Selection: Play-It-Safe vs. No-Risk-No-Fun. In: Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be? Tübingen, Germany: RTG 1829, DFG; 2018. (Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be?).
  5. 2017

    1. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Weimar, Germany: 88th GAMM Annual Meeting; 2017.
    2. Haas J, Nowak W. Water-energy nexus: challenges from Chile. In Golden, Colorado: International Conference on Energy Systems Integration (ICESI); 2017.
    3. Haas J, Nowak W, Palma-Behnke R. Multiple Storage Technologies Offering Multiple Services in Generation Expansion Planning. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2017.
    4. Schäfer-Rodrigues-Silva A, Nowak W. Model legitimacy - Model complexity in the light of limited data. In Stuttgart, Germany: Meeting of the international doctoral program “Environment Water”; 2017.
    5. Praditia T, Helmig R, Hajibeygi H. Multiscale finite volume method for sequentially coupled flow-heat system of equations in fractured porous media: application to geothermal systems. In Erlangen, Germany: SIAM Conference on Mathematical and Computational Issues in the Geosciences; 2017.
  6. 2016

    1. Moreno-Leiva S, Telsnig T, Haas J, Díaz-Alvarado F, Díaz-Ferrán G, Palma-Behnke R, et al. Solar Mining: integraci’on de tecnologías solares en la minería desde la perspectiva ACV (Solar Mining: integration of solar technologies into mining from a LCA perspective). In: I Conferencia Chilena de ACV. Viña del Mar, Chile: Red Ibero-Americana de Ciclos de Vida (RICV); 2016. (I Conferencia Chilena de ACV).
    2. Most S, Bijeljic B, Nowak W. A copula-based analysis of the dependence structure and process memory of anomalous pore-scale transport. In Cincinnati OH, USA: Interpore International Society for Porous Media: 8th International Conference on Porous Media & Annual Meeting; 2016.
    3. Trevisan L, González-Nicolás A, Cihan A, Pini R, Birkholzer J, Illangasekare T. Experimental and modeling study of capillary/buoyancy-driven flow of surrogate CO2 through intermediate-scale sand tanks, Greenhouse Gas Control Technologies. In Lausanne, Switzerland: Greenhouse Gas Control Technologies, GHGT-13; 2016.
    4. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Lausanne, Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
    5. Moreno-Leiva S, Román R, Kracht W, Palma-Behnke R, Haas J, Díaz-Ferrán G. Integrating solar energy in copper mining industry: preliminary analysis based on LCA. In: International Seminar on Energy Management in Mining. Santiago, Chile; 2016. (International Seminar on Energy Management in Mining).
    6. Pamparana G, Haas J, Díaz-Ferrán G, Kracht W, Palma-Behnke R, Román R. Operational planning of Semi-Autogenous Grinding (SAG) copper mills, photovoltaic and battery energy storage system. In: 3rd International Seminar on Energy Management in Mining. Santiago, Chile; 2016. (3rd International Seminar on Energy Management in Mining).
    7. 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.
  7. 2015

    1. Most S, Bijeljic B, Nowak W. A complete fingerprint of non-Fickian mixing – an empirical statistical analysis. In Padova, Italy: Interpore International Society for Porous Media: 7th International Conference on Porous Media & Annual Meeting; 2015.
    2. 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.
    3. Lötgering-Lin O, Hopp M, Gross J, Schöniger A, Nowak W. Prediction of pure component and mixture viscosities using PCP-SAFT and entropy scaling. In Houston, TX, USA: SAFT 2015; 2015.
    4. González-Nicolás A, Illangasekare T. Enhancing Trapping Effectiveness through the Optimization of Injection of Supercritical CO2 in Heterogeneous Formations. In Padova, Italy: 7th International Conference on Porous Media; 2015.
    5. Schöniger A. Multi-model approaches to quantify conceptual uncertainty in environmental modelling. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling; 2015.
    6. Haas J, Nowak W, Palma-Behnke R, Cebulla F. Energy storage opportunities and modelling challenges in Chile. In Concepcion, Chile: Production and Storage of Renewable Energy, KIT Alumni Expert Seminar; 2015.
  8. 2014

    1. 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.
    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. 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.
    4. Bode F, Binning P, Nowak W. Multi-Objective Optimization of Groundwater Monitoring Networks: Computational Costs vs. Optimization Accuracy. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    5. 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.
    6. Geiges A, Nowak W. A reverse engineering approach to optimize the design of experiments and field campaigns. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    7. Sinsbeck M, Nowak W. Adaptive Sampling for Bayesian Updating with Non-Intrusive Polynomial Chaos Expansions. In Savannah, Georgia, USA: SIAM Conference on Uncertainty Quantification; 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. 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.
    10. Bode F, Binning PJ, Nowak W. Enhanced Multi-objective Optimization of Groundwater Monitoring Networks. In Denver, CO, USA: NGWA Groundwater Summit 2014; 2014.
  9. 2013

    1. Enzenhöfer R, Binning PJ, Nowak W. Challenges & Limitations in Risk Assessment and Aggregation (The STORM Framework. In Freudenstadt, Germany: NUPUS annual Meeting: : Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2013.
    2. Tanaka N, Mehne J, Nowak W, Danzer M, Döring H, Bessler WG. Numerical Simulation and Experimental Validation for Thermal Runaway on Lithium-ion Cells. In Bad boll, Germany: 10th Symposium for Fuel Cell and Battery Modelling and Experimental Validation; 2013.
    3. González-Nicolás A, Cody B, Baú D. Estimation of the Sealing Properties of MTU-site (Michigan) for Geological Carbon Storage. In Fort Collins, CO, USA: XXXIII American Geophysical Union Hydrology Days; 2013.
    4. González-Nicolás A, Cody B, Baú D. Stochastic Optimization of the Geological Sequestration of Carbon Dioxide. In Fort Collins, CO, USA: XXXIII American Geophysical Union Hydrology Days; 2013.
    5. Mehne J, Nowak W. Stochastic Extension of a Thermal-Electrochemical Lithium-Ion Battery Model. In San Francisco, CA, USA: 224th ECS meeting; 2013.
    6. Bode F, Nowak W. Optimization Early-Warning Monitoring Systems for Improved Drinking Water Resource Protection. In NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2013.
    7. 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.
    8. González-Nicolás A, Cody B, Baú D. Carbon geological sequestration: effects of parameter uncertainty on fluid overpressure and CO2 leakage. In Fort Collins, CO, USA: XXXII American Geophysical Union Hydrology Days; 2013.
    9. Cody B, González-Nicolás A, Baú D. Analyzing Potential Improvements to a Semi-Analytical CO2 Leakage Algorithm. In Fort Collins, CO, USA: XXXII American Geophysical Union Hydrology Days; 2013.
    10. Oladyshkin S, Nowak W. On polynomial chaos expansions under incomplete statistical input information. In München, Germany: Euromech colloquium 543; 2013.
  10. 2012

    1. 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.
    2. 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.
    3. Mehne J, Nowak W, Danzer M, Döring H, Tanaka N, Bessler WG. Towards Predicting Thermal Runaway of Lithium-Ion Batteries. In Ulm, Germany: 13th Ulmer Electrochemical Talks; 2012.
    4. González-Nicolás A, Cody B, Baú D. Stochastic analysis of factors affecting the leakage of CO2 from injected geological basins. In Urbana, IL, USA: XIX. International Conference on Computational Methods in Water Resources (CMWR); 2012.
    5. 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.
    6. Enzenhöfer R, Rodriguez-Pretelin A, Nowak W. Probabilistic well-head protection under transient flow conditions. In Paris, France: Groundwater Vulnerability- Emerging Issues and New Approaches (IMVUL); 2012.
    7. Enzenhöfer R, Bunk T, Nowak W, Enzenhöfer R, Bunk T, Nowak W. Nine Steps to risk-informed well-head protection and management via probabilistic vulnerability criteria. In Paris, France: Groundwater Vulnerability- Emerging Issues and New Approaches (IMVUL); 2012.
    8. Cody B, González-Nicolás A, Baú D. Optimization of Geological Carbon Sequestration using Semi-Analytical Leakage Models linked to a Multi-objective Evolutionary Algorithm. In Urbana, IL, USA: XIX. International Conference on Computational Methods in Water Resources (CMWR); 2012.
    9. Enzenhöfer R, Nowak W. Well-head Protection: Time matters? But how much? In Mühlheim an der Ruhr, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2012.
  11. 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. 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.
    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. Flemisch B, Bode F, Braun J. Thermisch genutzte P&T-Anlagen - Chancen und Risiken. In Stuttgart, Germany: VEGAS-Kolloquium 2011; 2011.
    5. Enzenhöfer R, Nowak W, Helmig R. Probabilistic exposure risk assessment with advective-dispersive well vulnerability criteria. In Freudenstadt, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2011.
    6. 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.
    7. Enzenhöfer R, Nowak W. Optimal designed risk catchment management by means of proabilistic well vulnerability criteria. In Mühlheim an der Ruhr, Germany: Strategic Asset Management of Water and Wastewater Infrastructure; 2011.
    8. Enzenhöfer R, Nowak W. Quantitative Aggregierung von Einzelrisiken zum Gesamtrisiko für Brunneneinzugsgebiete. In Mannheim, Germany: F&E-Projekttreffen: W 1/01/10 Risikomanagement für Wasserschutzgebiete; 2011.
    9. González-Nicolás A, Cody B, Baú D. Numerical simulation of CO2 injection into deep saline aquifers. In Fort Collins, CO, USA: XXXI American Geophysical Union Hydrology Days; 2011.
    10. Enzenhöfer R, Geiges A, Nowak W, Helmig R. Optimal risk management support in actively managed well catchments by means of probabilistic vulnerability criteria. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    11. Enzenhöfer R, Nowak W. Risikomanagement im Grundwasserschutzgebiet - ein präventives probabilistisches Trinkwasserschutzkonzept. In Stuttgart, Germany: Invited lecture: 25.Trinkwasserkolloquium; 2011.
    12. Cody B, González-Nicolás A, Baú D. Multi-site CO2 Sequestration Optimization using a Dynamic Programming Approach. In Fort Collins, CO, USA: XXXI American Geophysical Union Hydrology Days; 2011.
    13. 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.
    14. 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.
    15. Chow R, Frind EO, Sousa M, Jones JP, Rudolph DL, Molson JW. Delineating Capture Zones for Environmentally Sensitive Features– A Model Comparison. In: Geohydro Conference. Quebec City, Quebec Canada; 2011. (Geohydro Conference).
    16. Nowak W, de Barros FPJ, Rubin Y. A hypothesis-driven approach to optimal site investigation. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
  12. 2010

    1. Enzenhöfer R, Nowak W, Helmig R. Quantification of Uncertainty for Transport-QBased Well Vulnerability Criteria. In Freudenstadt, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2010.
    2. Nowak W, de Barros FPJ, Rubin Y. Hypothesis-driven site investigation. In Monte Veritá, Switzerland: Thirty years of stochastic subsurface hydrology: Where do we stand and what are the emerging challenges; 2010.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Nowak W. Challenges and demands from the application side: An example from CO$_2$ injection into the subsurface. In Stuttgart, Germany: Workshop: Numerical Analysis of Stochastic PDEs (NASPDE); 2010.
    9. Nowak W, de Barros FPJ, Geiges A, Leube P. Optimal Site Investigation: What data to collect so that calibrated models have best prognistic power? In Tübingen, Germany: Invited lecture: FH-DGG Tagung 2010, Grundwasser für die Zukunft; 2010.
  13. 2009

    1. Nowak W. Stochastic Simulation and Bayesian Principles, with Examples from Stochastic Hydrogeology. In Stuttgart, Germany: ASIM-Workshop: Grundlagen und Methoden der Modellbildung und Simulation; 2009.
    2. 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.
    3. Nowak W. Uncertainty analysis in hydrometry: parameter and prediction uncertainty in subsequent modelling. In Vancouver, Canada: 33rd IAHR Congress: Water Engineering for a Sustainable Environment; 2009.
  14. 2008

    1. Oladyshkin S, Panfilov M. Differential split thermodyamic model for gasliquid compositional flow. In Lyon, France: MoMaS Journ’ees Multiphasiques; 2008.
    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. Fienen M, Hunt RJ, Clemo T, Nowak W, Doherty J. Implementation of a bayesian geostatistical parameter estimation module into PEST. In Orange Beach, AL, USA: USGS Modeling Conference; 2008.
  15. 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).
  16. 2006

    1. 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).
    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, 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.
    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. 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.
    6. 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.
  17. 2005

    1. 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.
    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").
  18. 2003

    1. 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.
    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.
  19. 2002

    1. 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.
    2. 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.
    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.
  20. 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.
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