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Adjusting Average for Ensemble Kalman Filter to Improve Quality of Adaptation of Reservoir Parameters Using Factual Development Indicators
Automation, modeling and energy supply in oil and gas sector

Authors: Leonid I. GRIGORIEV was born in 1943, graduated form Moscow Institute of Petrochemical and Gas Industry in 1966. He is professor, the Head of the Department of Computer-Aided Processing of Information and Management. Аuthor of the 120 publications in the field of automated control systems, computer science, artificial intelligence, supervisory control. E-mail: lgrig@gubkin.ru
Nikolai V. KAZAKOV was born in 1986, completed Master’s Program of the Department of ACS of Gubkin Russian State University of Oil and Gas in 2009. He is now a graduate student. E-mail: haberle@rambler.ru

Abstract: 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.

Index UDK: 622.24

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