Oil Production Optimization in a Cluster of Gas Lift Wells System


	Journal of Applied Sciences
	Year: 2010 \| Volume: 10 \| Issue: 16 \| Page No.: 1705-1713 DOI: 10.3923/jas.2010.1705.1713

Oil Production Optimization in a Cluster of Gas Lift Wells System

Deni Saepudin, Pudjo Sukarno, Edy Soewono, Kuntjoro Adji Sidarto and Agus Yodi Gunawan

Abstract: In this study, optimization problems for a cluster of gas lift wells system, which are coupled with a production and gas injection manifold, are discussed. The main goal is to determine the optimum gas injection rate for each well that maximizing the total oil production rate. The total gas for injection is constrained by the maximum availability and the total liquid production rate is constrained by separator capacity. The mathematical model for gas lift problem could be written as a boundary value problem, where the two parameter family non linear differential equation of the boundary value problem represents steady flow equation along the tubing, satisfying wellhead pressure and bottom hole pressure as boundary conditions. Oil production rate is a non-linear function of gas injection rate, which is given implicitly from the gas lift model. A computation scheme based on genetic algorithms is developed to solve the constrained optimization problem with and without considering separator capacity. Our results show quite good estimation for optimum solution. This approach is also flexible to accommodate separator capacity constraints.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	A Study of Continuous Flow Gas Lift System Using CFD

•	A Review on Petroleum: Source, Uses, Processing, Products and the Environment

How to cite this article:

Deni Saepudin, Pudjo Sukarno, Edy Soewono, Kuntjoro Adji Sidarto and Agus Yodi Gunawan, 2010. Oil Production Optimization in a Cluster of Gas Lift Wells System. Journal of Applied Sciences, 10: 1705-1713.

DOI: 10.3923/jas.2010.1705.1713

URL: https://scialert.net/abstract/?doi=jas.2010.1705.1713

COMMENT ON THIS PAPER

	Full Name:
	E-mail:
	Comments:

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Follow @scialert

Science Alert