NMPC for Oil Reservoir Production Optimization

Carsten Völcker, John Bagterp Jørgensen, Per Grove Thomsen, Erling Halfdan Stenby

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Abstract

In this paper, we use nonlinear model predictive control (NMPC) to maximize secondary oil recovery from an oil reservoir by controlling two-phase subsurface porous flow using adjustable down-hole control valves. The resulting optimal control problem is nonlinear and large-scale. We solve this problem numerically using a single shooting sequential quadratic programming (SQP) based optimization method. Explicit singly diagonally implicit Runge-Kutta (ESDIRK) methods are used for integration of the stiff system of differential equations describing the two-phase flow, and the adjoint method is used for sensitivity computations. We report computational experiences and oil recovery improvements for a standard test case.
Original languageEnglish
Title of host publication21st European Symposium on Computer Aided Process Engineering
Number of pages2029
PublisherElsevier
Publication date2011
Pages1849-1853
ISBN (Print)978-0-444-53895-6
DOIs
Publication statusPublished - 2011
Event21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece
Duration: 29 May 20111 Jun 2011
http://www.escape-21.gr/

Conference

Conference21st European Symposium on Computer Aided Process Engineering
CountryGreece
CityChalkidiki
Period29/05/201101/06/2011
Internet address
SeriesComputer Aided Chemical Engineering
Number29
ISSN1570-7946

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