Progress report. Updated August 2011

The following courses will be a part of my PhD
Fall 2007

Spring 2008

Summer 2010

Various presentations at NTNU and URE-Partner
Geostats2008, "Scale-Corrected Ensemble Kalman Filter for Observations of Production and 4-D Seismic Data"
Statistics Seminar, Dept. Statistics, Stanford University, "Improved Ensemble Kalman Filter Updating"
Ensemble Kalman Filter Workshop, "Ensemble Kalman Filter Updating Using Shrinkage Based Regression Techniques"
Internal Seminar Schlumberger, Stavanger, "Ensemble Kalman Filter Updating Using Shrinkage Based Regression Techniques", "Reduced Order Modelling in Reservoir Simulation Applications"
Internal Seminars ENI, Milano and Statoil, Bergen. "Dimension Reduction Techniques, with Applications in Reservoir Characterisation and Production Optimisation"
Ensemble Kalman Filter Workshop, "Ensemble Kalman Filtering for Non-Linear Likelihood Models Using Kernel-Shrinkage Regression Techniques"

Sætrom, J; 2008, Scale-Corrected Ensemble Kalman Filter for Observations of Production and 4-D Seismic Data; in Proceedings of Geostats2008, Santiago Chile
Sætrom, J and Omre, H; 2011, Ensemble Kalman Filtering Using Shrinkage Regression Techniques, accepted for publication in Computational Geosciences (17.06.2010), DOI: 10.1007/s10596-010-9196-0, The original publication is available at springerlink.com
Sætrom, J and Omre, H; 2011, Ensemble Kalman Filtering for Non-Linear Likelihood Models Using Kernel-Shrinkage Regression Techniques accepted for publication in Computational Geosciences (02.12.2010), DOI: 10.1007/s10596-010-9222-2, The original publication is available at \ springerlink.com)
Sætrom, J, Hove, J, Skjervheim, J-A and Vabø, J. G.; 2011, Improved Uncertainty Quantification in the Ensemble Kalman Filter Using Statistical Model Selection Techniques, accepted for publication in SPE Journal (23.12.2010)
He, J, Sætrom, J and Durlofsky, L J; 2011, Enhanced linearized reduced-order models for subsurface flow simulation, accepted for publication in Journal of Computational Physics (08.06.2011)

Omre, H and Sætrom, J; 2010, Hierarchical Scale-Corrected Ensemble Kalman Filter
Sætrom, J, Myrseth, I and Omre, H; 2010, Ensemble Kalman Filtering Using Bootstrap Shrinkage Regression

Fall 2007: Courses worth 15.0 sp. Continue working with Hierarchical EnKF.
Spring 2008: Courses worth 7.5 sp. Continue working with Scale-Corrected Hierarchical EnKF.
Fall 2008-Spring 2009: Visiting Researcher Stanford University, California USA, working with Prof. Lou Durlofsky.
Fall 2008: Working on the Ensemble Kalman Filter Updating Scheme (Shrinkage Regression, Kernel Shrinkage Regression)
Fall 2008: Working on various dimension reduction metods with applications for reservoir simulation (Reduced order modelling)
Spring 2009: Working on Ensemble Kalman Filter Updating Scheme (Bootstrap, Shrinkage, Kernel-Shrinkage, Bayesian Regression, Student-t)
Spring 2009: Working on the Trajectory Piecewise Linearization (TPWL) reservoir simulator
Fall 2010: Working on the TPWL and the Paper: "Ensemble Kalman Filtering Using Shrinkage Regression Techniques"
Spring 2010: Submitted paper: "Ensemble Kalman Filtering Using Shrinkage Regression Techniques"
Spring 2010: Working with the research group at Statoil, Bergen (EnKF & Model Selection)
Spring 2010: Continued collaboration with Stanford U, regarding stability and accuracy of the TPWL.
Spring 2010: Working on Papers:
- "Ensemble Kalman Filtering For Non-Linear Likelihood Models Using Kernel-Shrinkage Regression Techniques"
- "Ensemble Kalman Filtering Using Bayesian Regression Techniques"
- "Improved Uncertainty Quantification in the Ensemble Kalman Filter Using Statistical Model Selection Techniques"