Updating Reservoir Models Using Ensemble Kalman Filter

Sutawanir Darwis, AGUS YODI GUNAWAN, SRI WAHYUNINGSIH, NURTITI SUNUSI, ACENG KOMARUDIN MUTAQIN, NINA FITRIYATI

Abstract


The Ensemble Kalman Filter (EnKF) has gain popularity as a methodology for real time updates of
reservoir models. A sample of models is updated whenever observation data available. Successful
application of EnKF to estimate reservoir properties has been reported. A flow modeling is missing in
this research area. This paper presents the applicability of EnKF in flow modeling for three cases:
infinite reservoir, bounded reservoir and one dimensional composite reservoir. The solution of flow
equation was derived and used as a modeling component of state space modeling of Kalman filter
updating formula. This three reservoir models shows that the EnKF methodology can be used for
updating the reservoir models.



DOI: https://doi.org/10.29313/jstat.v10i1.1007

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