The ensemble Kalman filter (EnKF) and its versatile variants are renowned for their remarkable data assimilation capabilities in diverse domains.
Program
Download the workshop program here.
Venue
- Location: Hotel Edvard Grieg
- Dates: June 18-20
Registration Fee
5,000 NOK - Includes two nights at hotel (35m² suites), two breakfasts, three lunches, and two dinners.
Invited Speakers
|
Akhil Datta-Gupta
Texas A&M, |
Flow Relevant Covariance Localization During History Matching Using EnKF |
|
Geir Evensen
Norsk Hydro, |
Recent developments in the Hydro EnKF implementation and applications |
|
Dennis McLaughlin
MIT, |
Realistic ensemble generation and efficient multiscale estimation for reservoir control problems |
|
Dean Oliver
University of Oklahoma, |
Strategies for Dealing with Strong Nonlinearity in the EnKF |
|
Henning Omre
Norwegian University of Science & Technology, |
Hierarchical ensemble Kalman filter - HEnKF |
|
Al Reynolds
University of Tulsa, |
Evaluation of EnKF for nonlinear/ non-Gaussian problems |
|
Jan-Arild Skjervheim
Norsk Hydro, |
Assimilation of time lapse seismic data in addition to production data using the ensemble Kalman filter |
