Publications in proceedings

Stochastic Simulation and Safety Research for Hydrosystems

  1. 2022

    1. Takamoto M, Praditia T, Leiteritz R, MacKinlay D, Alesiani F, Pflüger D, et al. PDEBench: An Extensive Benchmark for Scientific Machine Learning. In: 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. 2022. (36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks).
    2. Horuz CC, Karlbauer M, Praditia T, Butz MV, Oladyshkin S, Nowak W, et al. Inferring Boundary Conditions in Finite Volume Neural Networks. In: International Conference on Artificial Neural Networks 2022. 2022. (International Conference on Artificial Neural Networks 2022).
    3. Karlbauer M, Praditia T, Otte S, Oladyshkin S, Nowak W, Butz MV. Composing Partial Differential Equations with Physics-Aware Neural Networks. In: Proceedings of the 39th International Conference on Machine Learning. Baltimore, USA; 2022. p. 10773--10801. (Proceedings of the 39th International Conference on Machine Learning).

  2. 2021 (submitted)

    1. Haas J, Rubio M del CB, Galván A, Olivares MA, Mendoza PA, Marques G. Planning South America’s energy transition: Hydropower inflows and synthetic hydropower cascades. In: AGU Fall Meeting 2021. (AGU Fall Meeting 2021).
    2. Haas J, Campoverde A, Reyes L. Agrivoltaic systems in Latin America: Mapping the synergies for climates and crops. In: AGU Fall Meeting 2021. (AGU Fall Meeting 2021).
    3. Galván A, Haas J, Martin P, Nowak W, Palma-Behnke R, Breyer C. Exporting sunshine: Planning South America’s energy transition with hydrogen exports. In: AGU Fall Meeting 2021. (AGU Fall Meeting 2021).

  3. 2021

    1. Praditia T, Oladyshkin S, Nowak W. Finite Volume Neural Networks: a Hybrid Modeling Strategy for Subsurface Contaminant Transport. In: AGU Fall Meeting 2021. 2021. (AGU Fall Meeting 2021).
    2. Praditia T, Karlbauer M, Otte S, Oladyshkin S, Butz M, Nowak W. Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. In: Deep Learning for Simulation ICLR Workshop 2021 [Internet]. 2021. (Deep Learning for Simulation ICLR Workshop 2021). Available from: https://arxiv.org/abs/2104.06010
    3. Praditia T, Oladyshkin S, Nowak W. Physics Informed Neural Network for porous media modelling. In Stuttgart, Germany: InterPore German Chapter Meeting 2021; 2021.
    4. Haas J, Hagen D, Moreno-Leiva S, Nowak W, Kern J, Olivares MA. Updated Perspective on Using Batteries for Mitigating Hydropeaking. In: Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES). 2021. (Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES); vol. 16).
    5. Praditia T, Oladyshkin S, Nowak W. Universal Differential Equation for Diffusion-Sorption Problem in Porous Media Flow. In online: EGU General Assembly 2021; 2021.
    6. Flaig S, Praditia T, Kissinger A, Lang U, Oladyshkin S, Nowak W. Prognosis of water levels in a moor groundwater system influenced by hydrology and water extraction using an artificial neural network. In online: EGU General Assembly 2021; 2021.

  4. 2020 (accepted)

    1. Haas J, Mahmoud M, Yeligeti M, Moreno-Leiva S, Nowak W, Palma-Behnke R. Adaptive Planning: Finding Optimal Energy Pathways In Times Of Deep Uncertainty. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference;
    2. Haas J, Mahmoud M, Yeligeti M, Moreno-Leiva S, Nowak W, Palma-Behnke R. Adaptive Planning: Finding Optimal Energy Pathways In Times Of Deep Uncertainty. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference;
    3. Moreno-Leiva S, Haas J, Nowak W, Junne T. Flexible energy systems for planning the world’s main copper mines considering geographical conditions. In Vienna, Austria: European Geophysical Union (EGU), General Assembly 2020;

  5. 2020

    1. Guthke A. The Unified Risk Equation - An Attempt to Unify Risk Assessment across Disciplines. In Munich, Germany: Engineering Risk Analysis Group, Technical University of Munich; 2020.
    2. Oladyshkin S, Beckers F, Kroeker I, Mohammadi F, Heredia A, Noack M, et al. Uncertainty quantification using Bayesian arbitrary polynomial chaos for computationally demanding environmental modelling: conventional, sparse and adaptive strategy. In: Computational Methods in Water Resources (CMWR). 2020. (Computational Methods in Water Resources (CMWR)).
    3. Rodriguez-Pretelin A, Nowak W, Morales-Casique E. Integrating transient flow conditions into groundwater well protection. In: Annual meeting of InterPore, Chapter Mexico. Mexico City, Mexico: InterPore; 2020. (Annual meeting of InterPore, Chapter Mexico).
    4. Gonzalez-Nicolas Alvarez A, Nowak W, Sinsbeck M, Schwientek M. Characterize the catchment regime by applying optimal monitoring strategies. In: EGU General Assembly Conference Abstracts. 2020. p. 4843. (EGU General Assembly Conference Abstracts).
    5. Moreno-Leiva S, Haas J, Nowak W, Junne T. Flexible energy systems for planning the world’s main copper mines considering geographical conditions. In Vienna, Austria: European Geophysical Union (EGU), General Assembly 2020; 2020.
    6. Guthke A, Bakhshipour AE, de Barros F, Class H, Daniell JE, Dittmer U, et al. A unified framework for quantitative interdisciplinary flood risk assessment. In online: AGU Fall Meeting 2020; 2020.
    7. Banerjee I, Guthke A, Ven CJCVD, Mumford K, Nowak W. Overcoming the Model-to-Experimental Data Fit Problem in Porous Media: a New Quantitative Method to Evaluate and Compare Models. In online: AGU Fall Meeting 2020; 2020.
    8. Gonzalez-Nicolas A, Allgeier J, Erdal D, Nowak W, Cirpka OA. Optimal monitoring strategies for minimal uncertainties about a groundwater divide. In: SIAM Conference on Uncertainty Quantification (UQ20) [Internet]. 2020. (SIAM Conference on Uncertainty Quantification (UQ20)). Available from: https://www.events.tum.de/frontend/index.php?page_id=3712&v=List&do=15&day=all&ses=1712#
    9. Allgeier J, Gonzalez-Nicolas A, Erdal D, Nowak W, Cirpka OA. A Stochastic Framework to Optimize the Monitoring Strategy for the Delineation of a Groundwater Divide. In: EGU General Assembly Conference Abstracts. 2020. p. 6907. (EGU General Assembly Conference Abstracts).
    10. Jackisch C, Schibalski A, Schröder B, Nowak W, Guthke A. Providing relevant uncertainty information to decision makers: Subjective post-processing of rigorous Bayesian uncertainty assessment of model projections. In online: AGU Fall Meeting 2020; 2020.
    11. Hsueh H-F, Guthke A, Wöhling T, Nowak W. Diagnosing Model-structural Errors with a Sliding Time-window Bayesian Analysis. In online: AGU Fall Meeting 2020; 2020.

  6. 2019

    1. Guthke A. Justifiability is key - Bayesian analysis of system and model complexity. In Esch-sur-Alzette, Luxembourg: 10th EGU Leonardo Conference on Earth’s hydrological cycle: Global change, landscape ageing and the pulse of catchments; 2019.
    2. Junne T, Haas J, Wang J, Moreno S, Naegler T, Buchgeister J, et al. 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.
    3. 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).
    4. 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).
    5. 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).
    6. Maier R, Gonzalez-Nicolas A, Leven C, Nowak W, Cirpka OA. Choosing Between Heterogeneity and Anisotropy - What’s in the Data and What Do Your Purposes Require? In: AGU Fall Meeting Abstracts. 2019. p. H21L-1910. (AGU Fall Meeting Abstracts; vol. 2019).
    7. Praditia T, Walser T, Oladyshkin S, Nowak W. Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systems. In: Fall Meeting 2019, Abstract: IN32B-15. San Francisco, CA, USA: American Geophysical Union (AGU); 2019. (Fall Meeting 2019, Abstract: IN32B-15).
    8. Allgeier J, González-Nicolás A, Cirpka O, Nowak W, Finchel M. Where to draw the line? In: Groundwater quality in the transition between rural and urban environments Conference, Poster. Liege, Belgium; 2019. (Groundwater quality in the transition between rural and urban environments Conference, Poster).
    9. 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).

  7. 2018

    1. Most S, Bijeljic B, Bolster D, Nowak W. Simulating three-dimensional non-Fickian transport across arbitrary Péclet regimes using training trajectories. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    2. 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.
    3. 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.
    4. Barth A, Kröker I. Finite Volume Methods for Hyperbolic Partial Differential Equations with Spatial Noise. In: Klingenberg C, Westdickenberg M, editors. Theory, Numerics and Applications of Hyperbolic Problems I. Cham: Springer International Publishing; 2018. p. 125--135. (Klingenberg C, Westdickenberg M, editors. Theory, Numerics and Applications of Hyperbolic Problems I).
    5. Haas J, Nowak W, Hagen D. Energy Storage Systems for a 100\% Renewable Power Supply: a Closer Look on Hydropower. In: 13th SDEWES Conference on Sustainable Development of Energy, Water and Environment Systems. Palermo, Italy: SDEWES; 2018. (13th SDEWES Conference on Sustainable Development of Energy, Water and Environment Systems).
    6. 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).
    7. Schäfer-Rodrigues-Silva A, Seitz T, Guthke Anneli, 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.
    8. Schäfer-Rodrigues-Silva A, Nowak W. Diagnosing redundancies, gaps and data match in multi-model ensembles. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    9. 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.
    10. Guthke Anneli. Model selection on solid ground: rigorous comparison of nine ways to evaluate Bayesian evidence. In Adelaide, Australia: STAHY 2018 Best Paper Award Session; 2018.
    11. Khan U, Snieder E, R.Shakir, Höge M, Nowak W. Using model complexity to select the optimum architecture  for artificial neural networks. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908).
    12. Rodriguez-Pretelin A, Nowak W. A framework for transient behavior restriction in WHPA delineation: A dynamic multiobjective approach. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    13. 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).
    14. 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.
    15. 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).
    16. Höge M, Wöhling T, Nowak W. The Decisive Role of Model Complexity in Model Selection. In: General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018).
    17. 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.
    18. 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.
    19. Guthke A, Höge M, Nowak W. How model selection and averaging strategies help us improve hydrological models. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018).
    20. Chow R, Wu H, Bennett J, Dugge J, Wöhling T, Nowak W. Sensitivity of simulated hyporheic exchange residence times to river bathymetry. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-10900, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-10900, 2018).
    21. 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).
    22. 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.
    23. Rodriguez-Pretelin A, Nowak W. Unsupervised learning for probabilistic WHPA analysis: A novel approach to identify hydraulic conductivity fields that best approximate geological uncertainties. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    24. 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)).
    25. Haas J, Khalighi J, Chen P-J, de la Fuente A, Nowak W. Save the Lake! Floating Solar Photovoltaic to Avoid Algae Blooms? In: Fall Meeting 2018. Washington, DC, USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    26. 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).
    27. Schäfer-Rodrigues-Silva A, Guthke Anneli, Nowak W. Quantifying similarity in multi-model ensembles. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling; 2018.
    28. Guthke A, Nowak W. Entropy-based experimental design for optimal model discrimination in the Geosciences. In Santander, Spain: Second Workshop on Information Theory and the Earth Sciences; 2018.
    29. Schäfer-Rodrigues-Silva A, Seitz T, Guthke Anneli, 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.
    30. 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.
    31. Rodriguez-Pretelin A, Nowak W. Optimal sampling design for well catchment investigation towards transient analysis of wellhead protection areas. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    32. 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).
    33. Rodriguez-Pretelin A, Nowak W. A Multi-Objective Optimization formulation for transient flow restriction in Wellhead Protection. In: JpGU 2018. Chiba, Japan: Japan Geoscience Union (JpGU); 2018. (JpGU 2018).
    34. 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.
    35. 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?).
    36. Motyka E, Haas J, de la Fuente A. Long-term impact of hydropeaking: Studying the water quality of Rapel Reservoir, and the thermal pollution and hydrological alteration of its downstream river. In: 12th International Symposium on Ecohydraulics (ISE). Tokyo Japan; 2018. (12th International Symposium on Ecohydraulics (ISE)).

  8. 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. Moreno-Leiva S, Valencia F, Haas J, Chudinzow D, Eltrop L. Solar energy alternatives for copper production. In: 23rd SolarPaces International Conference. Santiago, Chile: AIP Proceedings; 2017. (23rd SolarPaces International Conference).
    3. Chow R, Bennett J, J. Dugge TW, Nowak W. Evaluating Uncertainty in Estimating Groundwater Residence Time through a River Bend –An Integrated Hydrogeologic Modelling Study. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1881, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1881, 2017).
    4. Rodriguez-Pretelin A, Nowak W. Transient flow conditions change how we should think about WHPA delineation: a joint frequency and probability analysis. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-2660, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-2660, 2017).
    5. Chow R, Bennet J, Dugge J, Wöhling T, Nowak W. Evaluating Predictive Uncertainty of Hyporheic Exchange Modelling. In: Fall Meeting 2017, Abstract: H22D-06. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H22D-06).
    6. Nowak W, Anindito Y, Haas J, Olivares M. Can re-regulation reservoirs and batteries cost-effectively mitigate sub-daily hydropeaking? In: Fall Meeting 2017, Abstract: PA23A-0363. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: PA23A-0363).
    7. Haas J, Pamparana G, Kracht W, Nowak W, Chudinzow D, Ortiz J. Powering a Semi-Autogenous Grinding mill with photovoltaic energy including mineral management: the optimal energy storage mix. In Antofagasta, Chile: 3rd Solar Forum; 2017.
    8. Haas J, Nowak W. Water-energy nexus: challenges from Chile. In Golden, Colorado: International Conference on Energy Systems Integration (ICESI); 2017.
    9. Guthke A, Höge M, Nowak W. Bayesian model evidence as a model evaluation metric. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017).
    10. 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.
    11. Haas J, Zuniga D, Nowak W, Olivares M, Castelletti A, Tilmant A. The future of hydropower planning modeling. In: Fall Meeting 2017, Abstract: H23J-1805. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H23J-1805).
    12. Most S, Bijeljic B, Bolster D, Dentz M, Nowak W. Simulating Non-Fickian Transport across Péclet Regimes by doing Lévy Flights in the Rank Space of Velocity. In: Fall Meeting 2017, Abstract: H31D-1545. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H31D-1545).
    13. 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).
    14. 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.
    15. Rodriguez-Pretelin A, Nowak W. Minimizing transient influence in WHPA delineation: An optimization approach for optimal pumping rate schemes. In: Fall Meeting 2017, Abstract: PA53B-0274. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: PA53B-0274).
    16. Rodriguez-Pretelin A, Nowak W. And yet it moves! Involving transient flow conditions is the logical next step for WHPA analysis. In: Fall Meeting 2017, Abstract: H31D-1529. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H31D-1529).
    17. 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.
    18. Ortiz J, Kracht W, Pamparana G, Haas J. Integrating sustainable energy sources into a Semi-Autogenous Grinding mill: a simulated case study accounting for spatial variability of ore grindability. In Kingston, Canada: Annual meeting of the GAC/MAC; 2017.
    19. Höge M, Illman W, Nowak W. Bayesian Model Selection under Time Constraints. In: Fall Meeting 2017, Abstract: H23C-1661. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H23C-1661).

  9. 2016

    1. 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.
    2. 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.
    3. Haas J, Schradi J, Nowak W. Performance of Optimization Heuristics for the Operational Planning of Multienergy Storage Systems. In: Fall Meeting 2016, Abstract: GC51C-1162. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: GC51C-1162).
    4. Most S, Bolster D, Bijeljic B, Nowak W. Coarse Graining of Non-Fickian Solute Transport – PTRW on Smoothed Velocity Fields. In: Fall Meeting 2016, Abstract: H51D-1501. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51D-1501).
    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. 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).
    7. 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).
    8. Cihan A, Birkholzer JT, Trevisan L, González-Nicolás A, Illangasekare T. Importance of considering hysteresis in macroscopic models of two-phase flow in porous media. In: Fall Meeting 2016, Abstract: H51B-1446. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51B-1446).
    9. 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.
    10. 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.
    11. 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).
    12. González-Nicolás A, Cihan A, Birkholzer JT, Petrusak R, Zhou Q, Riestenberg DE, et al. Adaptive management for subsurface pressure and plume control in application to geological CO2 storage. In: Fall Meeting 2016, Abstract: H41B-1306. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H41B-1306).
    13. Höge M, Wöhling T, Nowak W. On the Way to Appropriate Model Complexity. In: Fall Meeting 2016, Abstract: NG13A-1683. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: NG13A-1683).
    14. Most S, Jia N, Bijeljic B, Nowak W. Simulating Pre-Asymptotic, Non-Fickian Transport Although Doing Simple Random Walks - Supported By Empirical Pore-Scale Velocity Distributions and Memory Effects. In: Fall Meeting 2016, Abstract: H51D-1502. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51D-1502).
    15. Most S, Bijeljic B, Nowak W. Let’s move to spheres! Why a spherical coordinate system is rewarding when analyzing particle increment statistics. In: General Assembly 2016, Geophysical Research Abstracts, Volume 18. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts, Volume 18).
    16. Bode F, Nowak W, Reed PM, Reuschen S. Putting Man in the Machine: Exploiting Expertise to Enhance Multiobjective Design of Water Supply Monitoring Network. In: Fall Meeting 2016, Abstract: H51A-1413. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51A-1413).
    17. Cabrera E, Schneider A, Wefringhaus E, Rabanal J, Ferrada P, Thaller D, et al. Advancements in the development of “AtaMo”: A solar module adapted for the climate conditions of the Atacama Desert in Chile – The impact of soiling and abrasion. In: 32nd European Photovoltaic Solar Energy Conference and Exhibition. Munich, Germany; 2016. (32nd European Photovoltaic Solar Energy Conference and Exhibition).
    18. Telsnig T, Potz C, Haas J, Eltrop L, Palma-Behnke R. Opportunities to Integrate Solar Technologies into the Chilean Lithium Mining Industry – Reducing Process Related GHG Emissions of a Strategic Storage Resource. In: 22nd SolarPACES International Conference. Abu Dhabi, UAE: AIP Proceedings; 2016. (22nd SolarPACES International Conference).
    19. Schöniger A, Illman WA, Wöhling T, Nowak W. Which level of model complexity is justified by your data? A Bayesian answer. In: General Assembly 2016, Geophysical Research Abstracts 20: EGU2016-12413, 2016. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts 20: EGU2016-12413, 2016).
    20. 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).

  10. 2015

    1. Diaz G, Haas J, Román R. The integration between solar energy and mining in Chile. In Daegu, Korea: ISES SWC2015; 2015.
    2. Bode F, Reuschen S, Nowak W. Never Use the Complete Search Space: A Concept to Enhance the Optimization Procedure for Monitoring Networks. In: Fall Meeting 2015, Abstract: IN11B-1774. San Francisco, CA, USA: American Geophysical Union (AGU); 2015. (Fall Meeting 2015, Abstract: IN11B-1774).
    3. 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.
    4. Schöniger A, Wöhling T, Samaniego L, Nowak W. On the various (good and bad) ways to evaluate Bayesian model weights. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-2084-2, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-2084-2, 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. 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.
    7. 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).
    8. 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).
    9. Most S, Bijeljic B, Nowak W. One Hundred Ways to be Non-Fickian - A Rigorous Multi-Variate Statistical Analysis of Pore-Scale Transport. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11212, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11212, 2015).
    10. 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.
    11. 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.
    12. G’omez-Hernández JJ, Xu T. Inverse Sequential Simulation-inversion by Conditioning. In: Petroleum Geostatistics 2015. 2015. (Petroleum Geostatistics 2015).
    13. Bode F, Loschko M, Nowak W. How to Decide? Multi-Objective Early-Warning Monitoring Networks for Water Suppliers. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-9270, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-9270, 2015).
    14. Nowak W, Wöhling T, Schöniger A. Lessons learned from a past series of Bayesian model averaging studies for soil/plant models. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-10293-1, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-10293-1, 2015).
    15. Sinsbeck M, Tartakovsky D. Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multi-Fidelity Models at the Example of an Infiltration Problem. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015).
    16. 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).
    17. Most S, Bijeljic B, Nowak W. A Full Empirical Description of Mixing and Dilution - The Fingerprint of Non-Fickian Mixing. In: Fall Meeting 2015, Abstract: H51F-1429. San Francisco, CA, USA: American Geophysical Union (AGU); 2015. (Fall Meeting 2015, Abstract: H51F-1429).
    18. 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.

  11. 2014

    1. 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.
    2. Most S, Bijeljic B, Nowak W. Is There a Critical Distance for Fickian Transport? - a Statistical Approach to Sub-Fickian Transport Modelling in Porous Media. In: Fall Meeting 2014, Abstract: H23B-0868. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23B-0868).
    3. 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).
    4. González-Nicolás A, Baú D. Detection of leaky caprock areas in carbon geological storage by pressure data assimilation. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    5. 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.
    6. 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.
    7. 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.
    8. Bode F, Binning PJ, Nowak W. Enhanced Multi-objective Optimization of Groundwater Monitoring Networks. In Denver, CO, USA: NGWA Groundwater Summit 2014; 2014.
    9. 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.
    10. Schöniger A, Wöhling T, Nowak W. How reliable is Bayesian model averaging under noisy data? Statistical assessment and implications for robust model selection. In: General Assembly 2014, Geophysical Research Abstracts 16: EGU2014-2211, 2014. Vienna, Austria: European Geosciences Union (EGU); 2014. (General Assembly 2014, Geophysical Research Abstracts 16: EGU2014-2211, 2014).
    11. 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).
    12. Schöniger A, Wöhling T, Nowak W. How to address measurement noise in Bayesian model averaging. In: Fall Meeting 2014, Abstract: H23K-1017. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23K-1017).
    13. 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.
    14. 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.
    15. Schröder P, Class H, Nowak W. On combination of strict Bayesian principles with model reduction technique or how stochastic model calibration can become feasible for large-scale applications. In: Fall Meeting 2013, Abstract: H24F-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2013, Abstract: H24F-02).
    16. Bode F, Loschko M, Nowak W. A Risk-Based Multi-Objective Optimization Concept for Early-Warning Monitoring Networks. In: Fall Meeting 2014, Abstract: H23K-1023. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23K-1023).
    17. 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.
    18. 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.

  12. 2013

    1. Geiges A, Nowak W, Rubin Y. Challenges for the sequential interaction between optimal design of field campaign and model calibration for non-linear systems. In: Fall Meeting 2013, Abstract: H24F-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H24F-03).
    2. Bode F, Binning P, Nowak W. What Factors Coordinate the Optimal Position of a Single Monitoring Well Down Gradient of a Hazardous Site. In: Fall Meeting 2013, Abstract: H21I-1175. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H21I-1175).
    3. 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.
    4. 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.
    5. Oladyshkin S, Nowak W. On polynomial chaos expansions under incomplete statistical input information. In München, Germany: Euromech colloquium 543; 2013.
    6. 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.
    7. 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.
    8. Mehne J, Nowak W. Stochastic Extension of a Thermal-Electrochemical Lithium-Ion Battery Model. In San Francisco, CA, USA: 224th ECS meeting; 2013.
    9. Wöhling T, Geiges A, Nowak W, Gayler S. Evaluating experimental design for soil-plant model selection using a Bootstrap Filter and Bayesian model averaging. In: Fall Meeting 2013, Abstract: H33J-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H33J-03).
    10. 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.
    11. 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.
    12. 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).
    13. Haas J, Olivares M, Palma R. Effects of massive wind power integration on short-term water resource management in central Chile - a grid-wide study. In: Fall Meeting 2013, Abstract: H43O-07. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H43O-07).
    14. 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.
    15. Schöniger A, Wöhling WNT. Do Bayesian model weights tell the whole story? New analysis and optimal design tools for maximum-confidence model selection. In: Fall Meeting 2013, Abstract: H33J-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H33J-02).
    16. Haas J, Palma R, Olivares M. Preliminary assessment of the value of up-powering in Chile’s Central Interconnected System under different wind penetration scenarios. In: IEEE Solar Energy and Smart Grids Congress - Chilecon. Santiago, Chile; 2013. (IEEE Solar Energy and Smart Grids Congress - Chilecon).
    17. Haas J, Olivares M, Palma R, Quintero A. Efectos econ’omicos de la modelaci’on de los estanques de regulaci’on de hidroeléctricas de pasada en el predespacho del SIC (Economic impact of modeling regulation tanks of run-of-river hydropower plants in Chile’s unit commitment). In: Chilean Congress of Hydraulic Engineering. Concepci’on; 2013. (Chilean Congress of Hydraulic Engineering).
    18. Haas J, Olivares M. Primer estudio de alteraci’on hidrol’ogica intra-diaria debido a la operaci’on de embalses del SIC para distintos escenarios de penetraci’on de energía e’olica (Intra-daily hydrological alteration due to hydropower reservoir operation in central Chile under scenarios of high wind share). In: Primer congreso en Ecohidrología para Latino América y el Caribe (CELAC-PHI). Santiago, Chile; 2013. (Primer congreso en Ecohidrología para Latino América y el Caribe (CELAC-PHI)).
    19. 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.

  13. 2012

    1. Geiges A, Nowak W. A reverse analysis framework for the assessment of data worth in optimal design. In: Fall Meeting 2012, Abstract: H11K-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2012. (Fall Meeting 2012, Abstract: H11K-05).
    2. 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.
    3. Enzenhöfer R, Rodriguez-Pretelin A, Nowak W. Transient flow conditions in probabilistic wellhead protection: importance and ways to manage spatial and temporal uncertainty in capture zone delineation. In: Fall Meeting 2012, Abstract: H33I-1443. San Francisco, CA, USA: American Geophysical Union (AGU); 2012. (Fall Meeting 2012, Abstract: H33I-1443).
    4. 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.
    5. 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.
    6. 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).
    7. Nowak W. Recent Advances in Optimizing Field Campaigns. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9365, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9365, 2012).
    8. 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.
    9. 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.
    10. 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. 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.
    12. 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.
    13. Koch J, Nowak W, de Barros FPJ, Dentz M. Three-dimensional Scalar Mixing in Porous Media - Flow Heterogeneity and Mixing Enhancement. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-12189, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-12189, 2012).
    14. 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.

  14. 2011

    1. Mehne J, Nowak W. Optimization of Pilot Point Locations for Conditional Simulation of Heterogeneous Aquifers. In: Fall Meeting 2011, Abstract: H23D-1298. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H23D-1298).
    2. 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).
    3. González-Nicolás A, Cody B, Baú D. Influence of Uncertain Parameters on the Leakage of CO2 to Overlying Formations. In: Fall Meeting 2011, Abstract: H51G-1278. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H51G-1278).
    4. Geiges A, Nowak W. Optimal Design of site investigation: Entropy based Utility functions and efficient implementations. In: Fall Meeting 2011, Abstract: H21H-04. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H21H-04).
    5. de Barros FPJ, Oladyshkin S, Nowak W. An integrative data-adaptive approach for global sensitivity analysis: application to subsurface flow and transport. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11206, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11206, 2011).
    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. 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.
    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. de Barros FPJ, Dentz M, Koch J, Nowak W. Vortex Induced-Mixing in Heterogeneous Porous Media. In: Fall Meeting 2011, Abstract: H31E-1212. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H31E-1212).
    11. 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. 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.
    13. Cody B, González-Nicolás A, Baú D. CCS Site Optimization by Applying a Multi-objective Evolutionary Algorithm to Semi-Analytical Leakage Models. In: Fall Meeting 2011, Abstract: H21H-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H21H-02).
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Koch J, Nowak W, Bardossy A. Identification and simulation of contaminant source architecture. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7522, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7522, 2011).
    19. 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).
    20. Enzenhöfer R, Nowak W, Helmig R. Risk management with probabilistic advective-dispersive well vulnerability criteria. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7822, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7822, 2011).
    21. Leube P, Nowak W, Schneider G. Temporal Moments revisited: Why there is there no better way for physically-based model reduction in time. In: Fall Meeting 2011, Abstract: H23D-1314. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H23D-1314).
    22. Enzenhöfer R, Nowak W. Rational risk-based decision support for drinking water well managers by optimized monitoring designs. In: Fall Meeting 2011, Abstract: H13B-1191. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H13B-1191).
    23. Leube P, Nowak W. Temporal Moments revised, or is there a better way for physically-based model reduction in time? In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-6756, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-6756, 2011).
    24. Enzenhöfer R, Nowak W. Risikomanagement im Grundwasserschutzgebiet - Ein präventives probabilistisches Trinkwasserschutzkonzept. In: Steinmetz H, editor. Herausforderungen und Lösungen für die Wasserversorgung - Wettbewerb, Versorgungssicherheit, Innovation, Effizienzsteigerung. Oldenbourg Industrieverlag, München; 2011. p. 41–63. (Steinmetz H, editor. Herausforderungen und Lösungen für die Wasserversorgung - Wettbewerb, Versorgungssicherheit, Innovation, Effizienzsteigerung; vol. 206).
    25. Cody B, González-Nicolás A, Baú D. Optimization by Applying a Multi-objective Evolutionary Algorithm to Semi-Analytical Leakage ModelsOptimization by Applying a Multi-objective Evolutionary Algorithm to Semi-Analytical Leakage Models. In: Fall Meeting 2011, Abstract: H21H-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H21H-02).
    26. Nowak W, Rubin Y, de Barros FPJ. Optimizing field investigation strategies to answer research hypotheses. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7582, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7582, 2011).
    27. 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.
    28. 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.
    29. Enzenhöefer R, Nowak W. Strategic Asset Management of Water and Wastewater Infrastructure. In Mühlheim an der Ruhr, Germany: nternational Water Association (IWA); 2011.
    30. Flemisch B, Bode F, Braun J. Thermisch genutzte P&T-Anlagen - Chancen und Risiken. In Stuttgart, Germany: VEGAS-Kolloquium 2011; 2011.
    31. Enzenhöfer R, Nowak W. Risikomanagement im Grundwasserschutzgebiet - ein präventives probabilistisches Trinkwasserschutzkonzept. In Stuttgart, Germany: Invited lecture: 25.Trinkwasserkolloquium; 2011.
    32. Geiges A, Nowak W. A reverse engineering approach to optimal design of site investigation schemes and monitoring networks. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7612, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7612, 2011).
    33. 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.
    34. Koch J, Nowak W, Bardossy A. Contaminant source architecture (CSA) identification and simulation. In: Fall Meeting 2011, Abstract: H33J-08. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H33J-08).
    35. 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.

  15. 2010

    1. Kokkinaki A, Sleep BE, Chambers JE, Cirpka OA, Nowak W. On the value of incorporating spatial statistics in large-scale geophysical inversions: the QSABRe case. In: Fall Meeting 2010, Abstract: H11E-0858. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H11E-0858).
    2. 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.
    3. 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).
    4. Sanchez-Vila X, de Barros FPJ, Bolster D, Nowak W. Divide and Conquer: A Valid Approach for Risk Assessment and Decision Making under Uncertainty for Groundwater-Related Diseases. In: Fall Meeting 2010, Abstract: H41L-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-05).
    5. 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.
    6. de Barros FPJ, Nowak W. Identifying Contaminant Release Conditions to Reduce Uncertainty in Plume Spreading and Dilution in Heterogeneous Aquifers. In: Computational Methods in Water Resources (CMWR). XVIII International Conference on Water Resources; 2010. (Computational Methods in Water Resources (CMWR)).
    7. 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.
    8. 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.
    9. Nowak W, de Barros FPJ, Cirpka OA. Enhanced dilution and transverse mixing due to flow focusing: a stochastic-analytical approach. In: Fall Meeting 2010, Abstract: H54C-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H54C-06).
    10. 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.
    11. 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.
    12. Enzenhöfer R, Helmig R, Nowak W, Binning PJ. Uncertainty in Model parameter Estimates and Impacts on Risk and Decision Making in the Subsurface. In: Fall Meeting 2010, Abstract: H42D-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H42D-05).
    13. Enzenhöfer R, Nowak W, Helmig R. Using probabilistic well vulnerability criteria for a risk-based preventive drinking water safety concept. In: Schirmer M, Hoehn E, Vogt T, editors. Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems. Zurich, Switzerland: IAHS Press; 2010. p. (Schirmer M, Hoehn E, Vogt T, editors. Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems; vol. 342).
    14. 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.
    15. 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).
    16. Troldborg M, Nowak W, Binning PJ, Løgstrup PB, Helmig R. Uncertainty estimation of the mass discharge from a contaminated site using a fully Bayesian framework. In: Schirmer M, Hoehn E, Vogt T, editors. Seventh International Groundwater Quality Conference: Groundwater Quality Management in a Rapidly Changing World (GQ10). Zurich, Switzerland: IAHS Press; 2010. p. (Schirmer M, Hoehn E, Vogt T, editors. Seventh International Groundwater Quality Conference: Groundwater Quality Management in a Rapidly Changing World (GQ10); vol. 342).
    17. Rubin Y, Nowak W, de Barros FPJ. A Task-oriented Approach for Hydrogeological Site Characterization. In: Fall Meeting 2010, Abstract: H41L-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-06).
    18. 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.
    19. 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.
    20. Leube P, Geiges A, Nowak W. A flexible Bayesian assessment for the expected impact of data on prediction confidence for optimal sampling designs. In: General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-12375, 2010. Vienna, Austria: European Geosciences Union (EGU); 2010. (General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-12375, 2010).

  16. 2009

    1. Enzenhöfer R, Helmig R, Nowak W, Binning PJ. Risk assessment in fractured porous media with particular reference to water catchments. In: General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-10661-1, 2009. Vienna, Austria: European Geosciences Union (EGU); 2009. (General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-10661-1, 2009).
    2. Nowak W, de Barros FPJ, Rubin Y. Bayesian Geostatistical Design: Optimal Site Investigation When the Geostatistical Model is Uncertain. In: General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-45565, 2009. Vienna, Austria: European Geosciences Union (EGU); 2009. (General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-45565, 2009).
    3. 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.
    4. 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.
    5. de Barros FPJ, Nowak W, Rubin Y. Uncertainty of human health risk predictions under different site exploration strategies. In: Fall Meeting 2009, Abstract: H13B-0934. San Francisco, CA, USA: American Geophysical Union (AGU); 2009. (Fall Meeting 2009, Abstract: H13B-0934).
    6. Nowak W. Using Ensemble Kalman Filters for Bayesian Geostatistical Inversion. In: Fall Meeting 2009, Abstract: H53N-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2009. (Fall Meeting 2009, Abstract: H53N-02).
    7. 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.

  17. 2008

    1. 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.
    2. Nowak W. A hypothesis-driven approach to site investigation. In: Fall Meeting 2008, Abstract: H53F-1485. San Francisco, CA, USA: American Geophysical Union (AGU); 2008. (Fall Meeting 2008, Abstract: H53F-1485).
    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.
    4. Oladyshkin S, Panfilov M. Differential split thermodyamic model for gasliquid compositional flow. In Lyon, France: MoMaS Journ’ees Multiphasiques; 2008.

  18. 2007

    1. 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).
    2. 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.
    3. Neuweiler I, Nowak W. Relation Between Connected Patterns in Heterogeneous Soil Parameter Fields and Solute Transport Models in the Unsaturated Zone. In: Fall Meeting 2007, Abstract: H34E-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H34E-02).
    4. Schwede RL, Nowak W, Cirpka OA. Impact of Sampling Volume on the Probability Density Function of Steady-State Concentration. In: Fall Meeting 2007, Abstract: H14C-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H14C-02).
    5. Nowak W, Schwede RL, Cirpka OA, Neuweiler I. Probability Density Functions of Hydraulic Head and Velocity in Three-Dimensional Heterogeneous Porous Media. In: Fall Meeting 2007, Abstract: H23G-1691. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H23G-1691).

  19. 2006

    1. 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.
    2. Oladyshkin S, Panfilova I, 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).
    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. 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).
    5. 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).
    6. 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.

  20. 2005

    1. Li W, Nowak W, Cirpka OA. Geostatistical inversing of transient pumping tests using temporal moments of drawdown. In: General Assembly 2005, Geophysical Research Abstracts 7: 02215, 2005. Vienna, Austria: European Geosciences Union (EGU); 2005. (General Assembly 2005, Geophysical Research Abstracts 7: 02215, 2005).
    2. Cirpka OA, Nowak W, Bürger CM. Linearized uncertainty propagation, geostatistical inversing, and data-worth analysis in heterogeneous aquifers. In: General Assembly 2005, Geophysical Research Abstracts 7: 01539, 2005. Vienna, Austria: European Geosciences Union (EGU); 2005. (General Assembly 2005, Geophysical Research Abstracts 7: 01539, 2005).
    3. 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.
    4. 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").
    5. Nowak W, Cirpka OA. Geostatistical Inversion of Conductivity and Dispersivities for Hydraulic Heads and Tracer Data from a Sandbox Experiment. In: Fall Meeting 2005, Abstract: H21G-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2005. (Fall Meeting 2005, Abstract: H21G-03).
    6. 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).

  21. 2004

    1. Cirpka OA, Nowak W, Jose SC. Effective Dispersion in Heterogeneous Media: Comparison between Experiments, Inverse Modeling, and First-Order Theory. In: Fall Meeting 2004, Abstract: H13H-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2004. (Fall Meeting 2004, Abstract: H13H-06).

  22. 2003

    1. Cirpka OA, Nowak W. First-order variance of solute travel time in non-stationary media. In: Fall Meeting 2003, Abstract: H11G-0920. San Francisco, CA, USA: American Geophysical Union (AGU); 2003. (Fall Meeting 2003, Abstract: H11G-0920).
    2. Nowak W, Cirpka OA. Efficient computational methods for iterative cokriging. In: World Water and Environmental Resources Congress (WWER) 2003: Groundwater Quality Modeling an Management Under Uncertainty. Philadelphia, PA, USA: ASCE; 2003. p. 112–21. (World Water and Environmental Resources Congress (WWER) 2003: Groundwater Quality Modeling an Management Under Uncertainty).
    3. S. Oladyshkin, N.N. Bobkov YuPG, 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.
    4. S. Oladyshkin, N.N. Bobkov YuPG, 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.

  23. 2002

    1. S. Oladyshkin, N.N. Bobkov YuPG, 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.
    2. S. Oladyshkin, N.N. Bobkov YuPG, 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.
    3. S. Oladyshkin, N.N. Bobkov YuPG, 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.
    4. Cirpka OA, Nowak W. Influence of Geostatistical Interpolation of Log-Hydraulic Conductivity on Dispersion and Mixing. In: Bridging the Gap between Measurement and Modeling in Heterogeneous Media. Lawrence Berkeley Laboratory, University of California, Berkeley, CA. USA: International Groundwater Symposium; 2002. (Bridging the Gap between Measurement and Modeling in Heterogeneous Media).

  24. 2001

    1. S. Oladyshkin, N.N. Bobkov YuPG, 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 YuPG, 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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