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IMPROVING THE EnKF FOR HISTORY MATCHING: MULTISCALE PARAMETERIZATION AND BOOTSTRAP-BASED SCREENING
(2010)
Although the ensemble Kalman filter (EnKF) has been remarkably successful for history matching and quantifying uncertainty in petroleum reservoirs, there have been problems with the use of small ensembles, and occasionally ...
History Matching of 3D Reservoir Models with Complex Non-Gaussian Distributions of the Model Parameters
(2010)
Although the first application of the ensemble Kalman filter (EnKF) as a technique for sequential assimilation of noisy measurements was to a numerical weather prediction problem, remarkable research progress has been made ...
KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA
(2010)
The assimilation of radar data in storm-scale numerical weather prediction models is essential for improved forecasts of thunderstorm events. The huge computational cost of assimilating the high temporal and spatial ...
Data Assimilation Using The Ensemble Kalman Filter With Emphasis On The Inequality Constraints
(2010)
The reliability of reservoir models generally increases as more data are included during their construction. In the recent past, the ensemble Kalman lter (EnKF) technique has established itself as a viable data assimilation ...
Ensemble Kalman Filter Data Assimilation in the Presence of Large Model Error
(2010)
Though assimilation of synthetically generated surface flux "observations" into numerical forecast models has been attempted, the topic of observed flux data assimilation over land has received little attention. This may ...
APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES
(2010)
For the numerical prediction of severe thunderstorm and hurricane, data assimilation is one of the necessary tools to obtain accurate initial conditions. Ensemble Kalman filter (EnKF) is a state of the art data assimilation ...