The ensemble Kalman filter (EnKF) and its many variants have been proven effective for data assimilation in large models, including those in atmospheric, oceanic, hydrologic, and petroleum reservoir systems. By bringing together technical experts, practitioners, researchers and students for presentations and informal interchange of information, we aim to share research results and suggest important challenges that have yet to be addressed.
Program
Download the workshop program here.
Venue
- Location: Solstrand Hotel & Bad, Os
- Dates: June 23-25, 2014
Registration Fee
9,250 NOK (with hotel) - Includes conference, three lunches, two dinners, and two nights at hotel. 6,250 NOK (without hotel) - Includes conference, three lunches, and two dinners.
Invited Speakers
|
Al Reynolds
University of Tulsa, USA |
My decade-long journey through the field of ensemble-based data assimilation |
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Sebastian Reich
Universität Potsdam, Germany |
Linear ensemble transform filters: a unified perspective on ensemble Kalman and particle filters |
|
Emmanuel Cosme
Université de Grenoble, France |
A non-Gaussian ensemble analysis scheme based on rank histograms |
|
Marco Iglesias
University of Nottingham, UK |
Iterative regularization for ensemble data assimilation |
|
Remus Hanea
Statoil, Norway |
Reservoir management and production forecast under geological uncertainties using ensemble methods |
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