Geir Evensen
Forsker I
geev@norceresearch.no
+47 51 87 56 15
+47 930 90 947
Nygårdsgaten 112, 5008 Bergen, Norway
Divisjon
Energi og Teknologi
Forskningstema
Dataassimilering
Beslutningsstøttesystemer
Reservoarmodellering og -simulering
Forskergrupper
Dataassimilering og optimalisering
Mer info om Geir
Prosjekter
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KonferanseforedragEnsemble Data Assimilation for Complex Multiphysics Models– SIAM Geosciences 2023 2023
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KonferanseforedragConsistent ensemble formulation and solution of the history-matching problem– EnKF Workshop 2023
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Vitenskapelig artikkelA Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering– Tellus A: Dynamic Meteorology and Oceanography 2023
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Vitenskapelig artikkelLearning 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
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KonferanseforedragOn the Formulation of the Ensemble History-Matching Problem– SPE Reservoir Simulation Conference 2023
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KonferanseforedragThe approximations made when deriving data-assimilation methods– Data Assimilation – Mathematical Foundation and Applications 2022
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Vitenskapelig artikkelAn ensemble-based decision workflow for reservoir management– Journal of Petroleum Science and Engineering 2022
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Vitenskapelig monografiData Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem– Springer 2022
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KonferanseforedragDemonstration of the Digires ensemble-based reservoir management workflow– DIGIRES Steering Committee Project Meeting 2021
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KonferanseforedragThe DIGIRES workflow for ensemble-based decision making– IOR Centre's Workshop on Production optimization, value of information and decision-making 2021
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KonferanseforedragAn Iterative Ensemble-Smoother Solution of the HM Problem Formulated with Consistent Error Statistics– SIAM GS 2021
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KonferanseforedragIntroducing ensemble methods for reservoir management– IOR Norway 2021 2021
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KonferanseforedragEfficient Subspace Implementation of an Iterative Ensemble Smoother for Solving Inverse Problems– SIAM CSE 2021
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KonferanseforedragUsing the power of data assimilation to model the COVID-19 pandemic– Kolloquium für Atmosphäre und Klima 2021
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KonferanseforedragA subspace iterative ensemble smoother for solving DA and inverse problems– ISDA-online 2021
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Vitenskapelig artikkelSubspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation– SPE Journal 2021
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Vitenskapelig artikkelA 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
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Vitenskapelig artikkelp-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching– Mathematical Geosciences 2021
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Vitenskapelig artikkelFormulating the history matching problem with consistent error statistics– Computational Geosciences 2021
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Vitenskapelig artikkelHandling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme– SPE Journal 2020
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KonferanseforedragAn international initiative of predicting the SARS-Cov-2 pandemic using ensemble data assimilation– Invited presentation Florida Atlantic University 2020
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KonferanseforedragAn international initiative of predicting the SARS-Cov-2 pandemic using ensemble data assimilation– Second International Workshop on Data Assimilation for Decision Making, Colombia 2020
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KonferanseforedragEnsemble Kalman Filter for Increased Oil Recovery– Oljedirektoratets IOR-pris 2020 webinar 2020
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KonferanseforedragConsistent Formulation and Error Statistics for Reservoir History Matching– ECMOR XVII 2020
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Vitenskapelig artikkelAn international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation– Foundations of Data Science (FoDS) 2020
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Vitenskapelig artikkel4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method– Journal of Petroleum Science and Engineering 2020
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KonferanseforedragImplementering og bruk av Ensemble Kalman Filter for bedre reservoarforståelse og økt utvinning– Offshore Stragegikonferansen 2020
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KonferanseforedragRevising the Method of Ensemble Randomized Maximum Likelihood– Petroleum Geostatistics 2019 2019
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KonferanseforedragStein Variational Gradient Descent with Application to Data Assimilation– Petroleum Geostatistics 2019
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KonferanseforedragCourse on Data Assimilation– SUMMER SCHOOL ON DATA ASSIMILATION AND ITS APPLICATIONS IN OCEANOGRAPHY, HYDROLOGY, RISK & SAFETY AND RESERVOIR ENGINEERING 2019
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KonferanseforedragImplementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching– Invited presentation University of Potsdam 2019
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KonferanseforedragDIGIRES Ensemble-based decision making for reservoir engineering– Data Assimilation for Decision making Universidad del Norte - Computer Science Department 2019
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Vitenskapelig artikkelEfficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching– Frontiers in Applied Mathematics and Statistics 2019
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Vitenskapelig artikkelRevising the stochastic iterative ensemble smoother– Nonlinear processes in geophysics 2019
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KonferanseforedragUse of K-SVD Algorithm to Sparsely Represent 4D Seismic Data– IOR Norway 2019 2019
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Vitenskapelig kapittelSparse Representation of 4D Seismic Signal Based on Dictionary Learning– 2019
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KonferanseforedragSparse Representation of 4D Seismic Signal Based on Dictionary Learning– SPE Norway One Day 2019
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KonferanseforedragFormulation of iterative ensemble smoothers– Workshop on Data Assimilation: Methodology and Applications 2019
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KonferanseforedragPotential of iterative ensemble methods for solving the nonlinear state and parameter-estimation problem– 7th International Symposium on Data Assimilation 2019
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Vitenskapelig artikkelAccounting for model errors in iterative ensemble smoothers– Computational Geosciences 2019
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Vitenskapelig kapittelIntroducing Stochastic Model Errors In Ensemble-Based History Matching– 2018
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KonferanseforedragDecision making and uncertainty analysis for planning of wells and field development– COLLABORATION IN A DIGITAL ENVIRONMENT TO INCREASE COMPETITIVENESS 2018
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KonferanseforedragPotential of iterative ensemble methods for solving the nonlinear state and parameter-estimation problem– Invited presentation 2018
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KonferanseforedragIntroducing Stochastic Model Errors In Ensemble-Based History Matching– ECMOR XVI 2018
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Vitenskapelig artikkelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study– SPE Reservoir Evaluation and Engineering 2018
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KonferanseforedragUsing iterative ensemble smoothers for parameter estimation in high-dimensional models– Workshop on „Climate Data Assimilation, Model Initialization and Parameter Estimation 2018
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Vitenskapelig oversiktsartikkelData assimilation in the geosciences: An overview of methods, issues, and perspectives– Wiley Interdisciplinary Reviews: Climate Change (WIRESs) 2018
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Vitenskapelig kapittelHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 2018
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KonferanseforedragEnsemble-based decision support system for geosteering– NFES Stavanger Monthly Technical Meeting 2018
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KonferanseforedragAccounting for model errors in iterative ensemble smoothers– 2018 EnKF workshop 2018
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KonferanseforedragAnalysis of iterative ensemble smoothers for solving inverse problems– The 8th EnKF Data Assimilation Workshop 2018
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KonferanseforedragEnsemble-based decision making?– DAAG 2018 2018
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Vitenskapelig artikkelConditioning reservoir models on rate data using ensemble smoothers– Computational Geosciences 2018
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KonferanseforedragBig data assimilation and uncertainty quantification in 4D seismic history matching– IOR NORWAY 2018 Workshop 2018
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Vitenskapelig kapittelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– 2018
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KonferanseforedragCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– SPE Norway One Day Seminar 2018
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KonferanseforedragDecision-Driven Big Data and Analytics for the Digital Subsurface– IRIS-CIPR: Team-building workshop 2018
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Vitenskapelig artikkelAnalysis of iterative ensemble smoothers for solving inverse problems– Computational Geosciences 2018
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KonferanseforedragSolving inverse problems by using iterative ensemble smoother– Numerical Modeling, Predictability and Data Assimilation in Weather, Ocean and Climate. A Symposium Honoring the Legacy of Anna Trevisan 2017
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KonferanseforedragProperties of iterative ensemble smoothers for history matching– SIAM GS17: Conference on Mathematical and Computational Issues in the Geosciences 2017
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KonferanseforedragIterative smoothers and strategies for conditioning on production data– EnKF workshop 2017
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KonferanseforedragProperties of iterative ensemble smoothers and strategies for conditioning on production data– Workshop III: Data Assimilation, Uncertainty Reduction, and Optimization for Subsurface Flow 2017
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KonferanseforedragEnsemble-based DA for multidisciplinary models: An example from the oil industry– Workshop on Data Assimilation in Terrestrial Systems 2016
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KonferanseforedragIntegrated reservoir modeling using multiple realizations: ES, MDA, and RML– ISAPP2 Symposium 2016
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ForskningsrapportForecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF)– Nansen Senter for Miljø og Fjernmåling 2011
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Vitenskapelig artikkelAsynchronous data assimilation with the EnKF– Tellus A: Dynamic Meteorology and Oceanography 2010
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Vitenskapelig artikkelStructural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter– SPE Journal 2010
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Vitenskapelig artikkelThe Ensemble Kalman Filter for Combined State and Parameter Estimation MONTE CARLO TECHNIQUES FOR DATA ASSIMILATION IN LARGE SYSTEMS– Control Systems Magazine 2009
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ForskningsrapportForecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF)– Nansen Environmental and Remote Sensing Center (NERSC) 2009
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Vitenskapelig artikkelHistory Matching Using the Ensemble Kalman Filter on a North Sea Field Case– SPE Journal 2008
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Vitenskapelig artikkelIncorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter– SPE Journal 2007
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Vitenskapelig kapittelCoastal Physical and Biochemical Processes– 2006
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Vitenskapelig artikkelThe impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacific– Quarterly Journal of the Royal Meteorological Society 2005
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KonferanseforedragIncorporating 4D SEismic Data in Reservoir Simulation Models Using Ensemble Kalman Filtering– SPE Annual Technical Conference and Exhibition 2005
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Vitenskapelig kapittelMonitoring the Norwegian Coastal Zone Environment (MONCOZE)– 2003
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Vitenskapelig artikkelDeveloping a Marine Information System by Integrating Existing Ocean Models Using Object-Oriented Technology– Marine Geodesy 2003
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Vitenskapelig artikkelIndian Ocean: Validation of the Miami Isopycnic Coordinate Ocean Model and ENSO events during 1958-1998– Journal of Geophysical Research (JGR) 2002
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Vitenskapelig artikkelMesoscale modelling study of the oceanographic conditions off the southwest coast of India– Indian Academy of Science(Earth and Planetary Science) 2002
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Vitenskapelig artikkelA singular evolutive extended Kalman filter to assimilate ocean colour data in a coupled physical-biogeochemical model for the North Atlantic– Ocean Modelling 2001
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Vitenskapelig artikkelSatellite earth observation in operational oceanography– Coastal Engineering 2000
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KonferanseforedragA Monitoring Prediction System of the North Atlantic and Nordic Seas– The 28th International Symposium on Remote Sensing of environment 2000
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Vitenskapelig artikkelCoordinate Transformation on a Sphere Using Conformal Mapping– Monthly Weather Review 1999
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Faglig monografiA review of the possible applications of earth observations data within EuroGOOS. Review book proceedings from "The First International Conference on EuroGOOS"– Elsevier Sciences Ltd 1997
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KonferanseforedragProposed Strategy for the use of remote sesing in EuroGOOS– EuroGOOS 1996
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Vitenskapelig artikkelMonitoring and modeling of the marine coastal environment– Photogrammetric Engineering and Remote Sensing 1993