Real-Time Reservoir Model Updating Using Ensemble Kalman Filter

摘要: The ensemble Kalman Filter technique (EnKF) has been reported to be very efficient for real-time updating of reservoir models match the most current production data. Using EnKF, an assimilating observations data are always available. Thus estimations model parameters, and their associated uncertainty, as well forecasts upto-date. In this paper, we apply EnKF continuously permeability realtime multiphase We improve previous by resolving flow equations after filter so that updated static dynamic parameters consistent. By doing so, show also better matched some cases. investigate sensitivity using different number realizations in EnKF. Our results a relatively large needed obtain stable results, particularly reliable assessment uncertainty. covariance functions is investigated.