Geir Evensen

Job Position: 
Adjunct Position
Research Group: 
E-mail: 

Research interests

Development and applications of ensemble-based data assimilation methods.

CV

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Personal Home Page: 
EnKF page

Project leader of the following projects

  1. EmblA: Ensemble-based data assimilation for environmental monitoring and prediction
  2. eVITA-EnKF: Forecasting non-linear systems using the ensemble Kalman filter and related methods

Publications

My Publications in CRIStin

Peer Review Publications and Books

62 total publications.

2023

  1. Schemm S, Grund D, Knutti R, Wernli H, Ackermann M, Evensen G. Learning from weather and climate science to prepare for a future pandemic. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(4).
  2. Popov AA, Sandu A, Nino-Ruiz ED, Evensen G. A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. Tellus A: Dynamic Meteorology and Oceanography. 2023;75(1).

2022

  1. Chang Y, Evensen G. An ensemble-based decision workflow for reservoir management. Journal of Petroleum Science and Engineering. 2022;217.

2021

  1. Stordal AS, Moraes RJ, Raanes PN, Evensen G. p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching. Mathematical Geosciences. 2021;53.
  2. Soares R, Luo X, Evensen G, Bhakta T. Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme. SPE Journal. 2021;26(2).
  3. Neto GMS, Soares R, Evensen G, Davolio A, Schiozer DJ. Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation. SPE Journal. 2021;26(2).
  4. Fleurantin E, Sampson C, Maes DP, Bennett J, Fernandes-Nunez T, Marx S, mfl. A STUDY OF DISPROPORTIONATELY AFFECTED POPULATIONS BY RACE/ETHNICITY DURING THE SARS-COV-2 PANDEMIC USING MULTI-POPULATION SEIR MODELING AND ENSEMBLE DATA ASSIMILATION. Foundations of Data Science (FoDS). 2021;3.
  5. Evensen G. Formulating the history matching problem with consistent error statistics. Computational Geosciences. 2021;

2020

  1. Soares R, Luo X, Evensen G, Bhakta T. 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method. Journal of Petroleum Science and Engineering. 2020;195.
  2. Evensen G, Amezcua J, Bocquet M, Carrassi A, Farchi A, Fowler A, mfl. An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation. Foundations of Data Science (FoDS). 2020;

2019

  1. Shah A. Stochastic data assimilation of observations with a detection limit. 2019.
  2. Soares RV, Luo X, Evensen G. Sparse Representation of 4D Seismic Signal Based on Dictionary Learning. I: SPE Norway One Day. 2019.
  3. Evensen G. Accounting for model errors in iterative ensemble smoothers. Computational Geosciences. 2019;23(4).
  4. Raanes PN, Stordal AS, Evensen G. Revising the stochastic iterative ensemble smoother. Nonlinear processes in geophysics. 2019;26(3).
  5. Evensen G, Raanes PN, Stordal AS, Hove J. Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching. Frontiers in Applied Mathematics and Statistics. 2019;5(47).

2018

  1. Evensen G. Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences. 2018;22(3).
  2. Evensen G, Eikrem KS. Conditioning reservoir models on rate data using ensemble smoothers. Computational Geosciences. 2018;22(5).
  3. Carrassi A, Bocquet M, Bertino L, Evensen G. Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change. 2018;
  4. Luo X, Lorentzen RJ, Valestrand R, Evensen G. Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study. SPE Reservoir Evaluation and Engineering. 2018;
  5. Evensen G. Introducing Stochastic Model Errors In Ensemble-Based History Matching. I: ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery, 3–6 September 2018, Barcelona, Spain. 2018.

Other Publications

2011

  1. Bertino L, Evensen G, Sakov P, Counillon FS, Simon E, Bojarova J, mfl. Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 2011.

2010

  1. Seiler A. Reservoir structural model updating using the Ensemble Kalman Filter. 2010.

2009

  1. Seiler A, Rivenæs JC, Aanonsen SI, Evensen G. Structural Uncertainty modelling and updating by production data integration. 2009 SPE/EAGE Reservoir Characterization and Simulation Conference. 2009;
  2. Evensen G. Data Assimilation: The Ensemble Kalman Filter [Internett]. 2nd edition. utg. 2009. Available from: http://www.amazon.com/Data-Assimilation-Ensemble-Kalman-Filter/dp/3642037100/ref=reader_auth_dp
  3. Seiler A, Evensen G, Skjervheim J-A, Hove J, Vabø JG. Using the EnKF for history matching and uncertainty quantification of complex reservoir models. I: Biegler L, Biros G, Ghattas O, Heinkenschloss M, Keyes D, Mallick B, mfl. Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty. 2009.
  4. Seiler A, Evensen G, Skjervheim J-A, Hove J, Vabø JG. Advanced reservoir management workflow using an EnKF based assisted history matching method. The 2009 SPE Reservoir Simulation Symposium, 65533. 2009;

2008

  1. Counillon FS. Ensemble-based data assimilation with an eddy-resolving model of the Gulf of Mexico. 2008.

2007

  1. Evensen G, Hove J, Meisingset HC, Reiso E, Seim KS, Espelid Ø. Using the EnKF for Assisted History Matching of a North Sea Reservoir Model. SPE 106184. SPE Reservoir Simulation Symposium. 2007;:13.
  2. Lisæter KA. A coupled ice - ocean data assimilation system for Arctic monitoring and prediction. 2007.

2006

  1. Johannessen JA, Pettersson LH, Eldevik T, Durand D, Evensen G, Winther N, mfl. Coastal Physical and Biochemical Processes [Internett]. I: Remote Sensing of the Marine Environment. 2006. p. 360. P. 179-196.Available from: https://eserv.asprs.org/eseries/staticcontent/staticpages/4578.html
  2. Evensen G. Data Assimilation -The Ensemble Kalman Filter. 2006.
  3. Haugen V, Natvik L-J, Evensen G, Berg A, Flornes K, Nævdal G. History matching using the ensemble Kalman filter on a North Sea field case. SPE 102430 [Internett]. 2006;Available from: http://www.spe.org

2005

  1. Skjervheim J-A, Evensen G, Aanonsen SI, Ruud BO, Johansen TA. Incorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter. SPE 95789 [Internett]. 2005;Available from: http://www.spe.org

2004

  1. Albretsen J, Winther N, Søiland H, Røed LP, Brusdal KK, Engedahl H, mfl. Models in MONCOZE. 2004.

2003

  1. Jacob AA, Hamre T, Evensen G, Mughal KA. Developing a Marine Information System by Integrating Existing Ocean Models Using Object-Oriented Technology. Marine Geodesy. 2003;26:87-106.
  2. Bertino L, Evensen G. 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;
  3. Lisæter KA, Rosanova JJ, Evensen G. Assimilation of ice concentration into a coupled ice ocean model using the Ensemble Kalman Filter. 2003.
  4. Natvik L-J, Evensen G. Assimilation of ocean colour data into a biochemical model of the North Atlantic. Part 2. Statistical analysis. journal of Marine Systems. 2003;:155-169.
  5. Natvik L-J, Evensen G. 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.
  6. Evensen G, Gaspar P, Johannessen JA, Lefevre F, Sagen H, Stephens R, mfl. Envisat monitoring and forecasting services for offshore industry, EMOFOR. 2003.
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