Biblio
Filters: Author is Evensen, Geir [Clear All Filters]
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 120, (2023).
An ensemble-based decision workflow for reservoir management. Journal of Petroleum Science and Engineering 217, (2022). Abstract
Formulating the history matching problem with consistent error statistics. Computational Geosciences (2021).doi:10.1007/s10596-021-10032-7
p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching. Mathematical Geosciences 53, (2021). Abstract
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) 3, (2021).
4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method. Journal of Petroleum Science and Engineering 195, (2020). Abstract
An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation. Foundations of Data Science (FoDS) (2020).doi:10.3934/fods.2021001 Abstract
Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching. Frontiers in Applied Mathematics and Statistics 5, (2019).
Sparse Representation of 4D Seismic Signal Based on Dictionary Learning. SPE Norway One Day (2019).doi:10.2118/195599-MS
Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences 22, (2018).
Conditioning reservoir models on rate data using ensemble smoothers. Computational Geosciences 22, (2018).
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study. SPE Norway One Day Seminar 2018 (2018).doi:10.2118/191305-MS
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study. SPE Reservoir Evaluation and Engineering (2018).doi:10.2118/191305-PA
Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
Introducing Stochastic Model Errors In Ensemble-Based History Matching. ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery, 3–6 September 2018, Barcelona, Spain (2018).doi:10.3997/2214-4609.201802280
Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences (2017).doi:10.1007/s10596-018-9731-y
Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 19 (2011). Download: all.pdf (712.46 KB)
Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter. SPE Journal 15, (2010). Download: Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter.pdf (1.32 MB)
Reservoir structural model updating using the Ensemble Kalman Filter. Doctoral Thesis No. 87 (2010).
