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Avtomatika i Telemekhanika, 2018, Issue 4, Pages 75–91 (Mi at15045)  
Control in Technical Systems

Optimal management of oil field development in the Buckley–Leverett model

A. V. Akhmetzianova, A. G. Kushnerba, V. V. Lychaginac

a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
b Lomonosov State University, Moscow, Russia
c Arctic University of Norway, Tromso, Norway
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Abstract: We consider the problem of two-phase filtering (oil and water) in a horizontal layer of an oil deposit. We propose an asymptotic method for calculating both the filtering process and related optimal control problems, namely the problems of choosing optimal control actions to achieve maximum oil production at a given level of water resource consumption or a minimum water flow rate that provides the level of oil production required by the plan.
Keywords: filtering, asymptotics, optimal control, probabilistic methods.
Funding agency Grant number
Russian Science Foundation 15-19-00275
This work was supported by the Russian Science Foundation, project no. 15-19-00275.
Presented by the member of Editorial Board: M. V. Khlebnikov

Received: 03.10.2017
English version:
Automation and Remote Control, 2018, Volume 79, Issue 4, Pages 641–654
DOI: https://doi.org/10.1134/S0005117918040069
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Akhmetzianov, A. G. Kushner, V. V. Lychagin, “Optimal management of oil field development in the Buckley–Leverett model”, Avtomat. i Telemekh., 2018, no. 4, 75–91; Autom. Remote Control, 79:4 (2018), 641–654
Citation in format AMSBIB
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