An improved Genetic Algorithm for pump scheduling in water injection systems for oilfield

Author

Wei, Shuang ; Leung, Henry

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB

fYear

2008

fDate

1-6 June 2008

Firstpage

1027

Lastpage

1032

Abstract

The complication of multiple reciprocating plunger pumps and centrifugal multilevel pumps connected in parallel in the pumping stations has been a challenge for decision makers to meet the demand of the efficiency and cost-effective production. In this paper, an efficiency mathematical model and an effective pump scheduling problem based on Genetic Algorithm (GA) are proposed. The objective is to maximize the efficiency of pumps operation to balance the total water flow rate of the system within the constant-pressure constraint and constraints of optimal operation for pumps in the system. An improved GA with competition cross method is designed and applied to solve this problem. Computative simulations show that the proposed method is effective for pump scheduling in an oilfield water injection system.

Keywords

decision making; genetic algorithms; oil technology; pumps; scheduling; water supply; centrifugal multilevel pumps; decision makers; genetic algorithm; multiple reciprocating plunger pumps; oilfield; pump scheduling; pumping stations; water injection systems; Control systems; Costs; Frequency conversion; Genetic algorithms; Mathematical model; Optimal control; Optimal scheduling; Pipelines; Processor scheduling; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-1822-0

Electronic_ISBN

978-1-4244-1823-7

Type

conf

DOI

10.1109/CEC.2008.4630922

Filename

4630922