Scientific and technical journal

«Proceedings of Gubkin University»

ISSN 2073-9028

Proceedings of Gubkin University
ADJUSTING AVERAGE FOR ENSEMBLE KALMAN FILTER TO IMPROVE QUALITY OF ADAPTATION OF RESERVOIR PARAMETERS USING FACTUAL DEVELOPMENT INDICATORS

UDC: 622.24
DOI: -

Authors:

Grigoriev Leonid I.1,
Kazakov Nikolai V.1

1 Gubkin Russian State University of Oil and Gas

Keywords: Ensemble Kalman Filter, adaptation of reservoir models, adjustment of ensemble average, adaptation per history

Annotation:

A method for adjusting the average value in the Ensemble Kalman Filter (EnKF), as an effective method to adapt the characteristics of the reservoir, based on correlation analysis is presented. This method improves the quality of the field adaptation at the expense of processing the information available and does not require any additional data.

Bibliography:

1. The ensemble Kalman filter in reservoir engineering — A review/ S.I. Aanonsen, G. Nævdal, D.S. Oliver, A.C. Reynolds, B. Vallès//SPE Journal. — Vol. 14. — № 3. — September 2009. — РР. 393-412.
2. Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter/ Nævdal, Geir, Johnsen L.M., Aanonsen, Sigurd, Vefring E.H.//SPE Journal, March 2005. — РР. 66–74.
3. Roweis S., Ghahramani Z. A unifying review of linear Gaussian models//Neural Comput. — Vol. 11. — № 2. — 1999.
4. Grigoriev L., Kazakov N. Localisation of ensemble mean at analyze step in EnKF algorithm/ 6-th International EnKF Workshop, Ulvik, 2011.
5. Казаков Н.В. Актуальность применения моделей фильтра Калмана для решения задач адаптивного управления при разработке месторождений//Автоматизация, телемеханизация и связь в нефтяной промышленности. — М.: ВНИИОЭНГ, 2011.