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
Publikasjoner
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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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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 monografiData Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem– Springer 2022
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KonferanseforedragEnsemble Data Assimilation for Complex Multiphysics Models– SIAM Geosciences 2023 2023
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Vitenskapelig artikkelAn ensemble-based decision workflow for reservoir management– Journal of Petroleum Science and Engineering 2022
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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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KonferanseforedragRevising the Method of Ensemble Randomized Maximum Likelihood– Petroleum Geostatistics 2019 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 artikkelp-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching– Mathematical Geosciences 2021
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KonferanseforedragImpact of ensemble size and the need for localization in ensemble history matching– EAGE Petroleum Geostatistics 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 (PNAS) 2023
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Faglig foredragImproving pandemic forecasts by assimilating observations– Nettverksmøte for modelleringsmiljøene 2022
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Faglig foredragData-Assimilation Fundamentals: Using iterative methods to handle nonlinearity– Seminar 2022
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KonferanseforedragEfficient Subspace Implementation of an Iterative Ensemble Smoother for Solving Inverse Problems– SIAM CSE 2021
