Geir Evensen
Research interests
Development and applications of ensemble-based data assimilation methods.
Personal Home Page:
EnKF page Peer Review Publications and Books
50 total publications.
2019
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. Accounting for model errors in iterative ensemble smoothers. Computational Geosciences. 2019;23(4).
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. Revising the stochastic iterative ensemble smoother. Nonlinear processes in geophysics. 2019;26(3).
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. Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching. Frontiers in Applied Mathematics and Statistics. 2019;5(47).
2018
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. Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences. 2018;22(3).
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. Conditioning reservoir models on rate data using ensemble smoothers. Computational Geosciences. 2018;22(5).
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. Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change. 2018;
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. Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study. SPE Reservoir Evaluation and Engineering. 2018;
2017
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. Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences. 2017;
2010
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. Asynchronous data assimilation with the EnKF. Tellus A [Internet]. 2010;62A. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0870.2009.00417.x/abstract
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. Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter. SPE Journal [Internet]. 2010;15. Available from: http://dx.doi.org/10.2118/125352-PA
2009
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. Using the EnKF for history matching and uncertainty quantification of complex reservoir models. In: Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty. 2009.
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. Data Assimilation: The Ensemble Kalman Filter [Internet]. 2nd editionnd ed. 2009. Available from: http://www.amazon.com/Data-Assimilation-Ensemble-Kalman-Filter/dp/3642037100/ref=reader_auth_dp
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. The ensemble Kalman filter for combined state and parameter estimation. Control systems magazine [Internet]. 2009;29:83-104. Available from: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4939313
2007
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. Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean model. Journal of Geophysical Research (Oceans) [Internet]. 2007;112. Available from: http://www.agu.org/pubs/crossref/2007/2006JC003786.shtml
Other Publications
2009
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. Data Assimilation: The Ensemble Kalman Filter [Internet]. 2nd editionnd ed. 2009. Available from: http://www.amazon.com/Data-Assimilation-Ensemble-Kalman-Filter/dp/3642037100/ref=reader_auth_dp
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. Structural Uncertainty modelling and updating by production data integration. 2009 SPE/EAGE Reservoir Characterization and Simulation Conference. 2009;
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. Advanced reservoir management workflow using an EnKF based assisted history matching method. The 2009 SPE Reservoir Simulation Symposium, 65533. 2009;
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. Using the EnKF for history matching and uncertainty quantification of complex reservoir models. In: Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty. 2009.
2007
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. Using the EnKF for Assisted History Matching of a North Sea Reservoir Model. SPE 106184. SPE Reservoir Simulation Symposium. 2007;:13.
2006
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Coastal Physical and Biochemical Processes [Internet]. In: Remote Sensing of the Marine Environment. 2006. p. 360. P. 179-196.Available from: https://eserv.asprs.org/eseries/staticcontent/staticpages/4578.html
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. History matching using the ensemble Kalman filter on a North Sea field case. SPE 102430 [Internet]. 2006;Available from: http://www.spe.org
2005
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. Incorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter. SPE 95789 [Internet]. 2005;Available from: http://www.spe.org
2004
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Models in MONCOZE. 2004.
2003
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. Developing a Marine Information System by Integrating Existing Ocean Models Using Object-Oriented Technology. Marine Geodesy. 2003;26:87-106.
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. Assimilation of ocean colour data into a biochemical model of the North Atlantic. Part 1. Data assimilation experiments. Journal of Marine Systems. 2003;:127-153.
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. Assimilation of ocean colour data into a biochemical model of the North Atlantic. Part 2. Statistical analysis. journal of Marine Systems. 2003;:155-169.
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. The DIADEM/TOPAZ monitoring and prediction system for the North Atlantic. 3rd EuroGOOS conference: Building the European capacity in Operational Oceanography, Athens, Greece 3-6 Dec 2002. Elsevier Oceanography Series. 2003;
