Optimization of petroleum reservoir waterflooding using receding horizon approach

Author

Grema, A.S. ; Cao, Yijia

Author_Institution

Sch. of Eng., Cranfield Univ., Cranfield, UK

fYear

2013

fDate

19-21 June 2013

Firstpage

397

Lastpage

402

Abstract

In this paper, static and dynamic optimization of a reservoir waterflooding process for enhanced oil recovery was studied. The dynamic optimization was achieved using receding horizon (RH) algorithms. Two forms of RH which are moving-end and fixed-end RH were formulated and compared. MATLAB Reservoir Simulator (MRST) from SINTEF was used for reservoir simulation. The objective function to be maximized is net present value (NPV) of the venture while the control variable is water injection rate. Sequential quadratic programming (SQP) was applied for the optimization. It was found out that fixed-end RH gave the highest NPV with improvements of 0.81% and 1.49% over static and moving-end RH strategies respectively.

Keywords

flow control; hydrocarbon reservoirs; mathematics computing; oil technology; oils; optimisation; petroleum; petroleum industry; process control; MATLAB reservoir simulator; MRST; NPV; SINTEF; SQP; dynamic optimization; fixed-end RH; moving-end RH; net present value; oil recovery; petroleum reservoir waterflooding; receding horizon approach; reservoir simulation; sequential quadratic programming; static optimization; Conferences; Optimal control; Optimization; Petroleum; Production; Reservoirs; dynamic optimization; enhanced oil recovery; fixed-end receding horizon; moving-end receding horizon; static optimization; waterflooding process;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-6320-4

Type

conf

DOI

10.1109/ICIEA.2013.6566402

Filename

6566402