Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models

Andreas S. Stordal; Randi Valestrand; Hans Arnfinn Karlsen; Geir Nævdal; Hans J. Skaug

doi:10.1007/s10596-011-9262-2

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Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models

Andreas S. Stordal Randi Valestrand Hans Arnfinn Karlsen Geir Nævdal Hans J. Skaug

Year: 2011 Journal: Computational Geosciences Vol: 16 (2)Pages: 467-482 Publisher: Springer Science+Business Media

DOI: 10.1007/s10596-011-9262-2

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Keywords:

Ensemble Kalman filter Kalman filter Gaussian Algorithm Particle filter Mathematics Filter (signal processing) Data assimilation Computer science Extended Kalman filter Statistics Meteorology Geography Physics

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Reservoir Engineering and Simulation Methods

Physical Sciences → Engineering → Ocean Engineering

Hydrocarbon exploration and reservoir analysis

Physical Sciences → Engineering → Mechanics of Materials

Hydraulic Fracturing and Reservoir Analysis

Physical Sciences → Engineering → Mechanical Engineering

Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models

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