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  • 标题:Updating Reservoir Models Using Ensemble Kalman Filter
  • 本地全文:下载
  • 作者:Sutawanir Darwis ; AGUS YODI GUNAWAN ; SRI WAHYUNINGSIH
  • 期刊名称:Statistika
  • 印刷版ISSN:1411-5891
  • 出版年度:2010
  • 卷号:10
  • 期号:1
  • 页码:35-41
  • DOI:10.29313/jstat.v10i1.1007
  • 出版社:Universitas Islam Bandung
  • 摘要: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.
  • 关键词:reservoir flow modeling; Kalman filter; ensemble Kalman filter.
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