Oil Reservoir Production Optimization using Optimal Control

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Abstract

Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using the adjoint method. We use an Explicit Singly Diagonally Implicit Runge-Kutta (ESDIRK) method for the integration and a quasi-Newton Sequential Quadratic Programming (SQP) algorithm for the constrained optimization. We use this algorithm in a numerical case study to optimize the production of oil from an oil reservoir using water ooding and smart well technology. Compared to the uncontrolled case, the optimal operation increases the Net Present Value of the oil field by 10%.
Original languageEnglish
JournalI E E E Conference on Decision and Control. Proceedings
Pages (from-to)7937-7943
ISSN0743-1546
DOIs
Publication statusPublished - 2011
Event50th IEEE Conference on Decision and Control and European Control Conference - Hilton Orlando Bonnet Creek, Orlando, Florida, United States
Duration: 12 Dec 201115 Dec 2011
Conference number: 50
http://control.disp.uniroma2.it/cdcecc2011/

Conference

Conference50th IEEE Conference on Decision and Control and European Control Conference
Number50
LocationHilton Orlando Bonnet Creek
CountryUnited States
CityOrlando, Florida
Period12/12/201115/12/2011
SponsorSociety for Industrial and Applied Mathematics
Internet address

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