Recently, the ensemble Kalman filter (EnKF) has been examined in several synthetic cases as an alternative to traditional history matching methods. Results from these studies indicate that the method can be useful for estimation of permeability and porosity fields.

Contrary to other history matching methods, the EnKF provides an ensemble of model realizations containing information of the uncertainty in the estimates. Moreover, the data is processed sequentially, which makes it possible to always have an updated model conditioned on the most recent production data. The method therefore seems promising for real time reservoir management. This paper presents a successful study for a North Sea field case, where real production data have been assimilated using EnKF.

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