STATISTIKA: Forum Teori dan Aplikasi Statistika
Vol 10, No 1 (2010)

Updating Reservoir Models Using Ensemble Kalman Filter

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



Article Info

Publish Date
11 Oct 2010

Abstract

The Ensemble Kalman Filter (EnKF) has gain popularity as a methodology for real time updates ofreservoir models. A sample of models is updated whenever observation data available. Successfulapplication of EnKF to estimate reservoir properties has been reported. A flow modeling is missing inthis 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 flowequation was derived and used as a modeling component of state space modeling of Kalman filterupdating formula. This three reservoir models shows that the EnKF methodology can be used forupdating the reservoir models.

Copyrights © 2010






Journal Info

Abbrev

statistika

Publisher

Subject

Decision Sciences, Operations Research & Management

Description

STATISTIKA: Journal of Theoretical Statistics and Applications (JSTAT) published by Department of Statistics, Faculty of Mathematics and Natural Sciences, Bandung Islamic University as pouring media and discussion of scientific papers in the field of statistical science and its applications, both in ...