Continuous gas lift optimization using genetic algorithm

Ehsan Khamehchi, Fariborz Rashidi, Behrooz Karimi, Peyman Pourafshary, Mohammad Amiry

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Gas lift is one of a number of processes used to artificially lift oil or water from wells where there is insufficient reservoir pressures to produce the well. The process involves injecting gas through the tubing-casing annulus. Injected gas aerates the fluid to reduce its density; the formation pressure is then able to lift the oil column and forces the fluid out of the wellbore. Gas may be injected continuously or intermittently, depending on the producing characteristics of the well and the arrangement of the gas-lift equipment. Being somehow an ancient tool with an age of over a century, gas lift is though still a challenging problem when overall optimization is the concern. When the injection gas is of a limited supply the problem is finding the best gas allocation scheme. However there are increasingly emerging cases in certain geographic localities where the gas supplies are usually unlimited. The optimization problem then totally travels to the wellbore and completion string and fully engages with multiphase flow concepts. In the present study an intelligent genetic algorithm has been developed to simultaneously optimize all effective factors namely, gas injection rate, injection depth and tubing diameter towards the maximum oil production rate with the water cut and injection pressure as the restrictions. The computations and real field data are mutually compared.

Original languageEnglish
Pages (from-to)3919-3929
Number of pages11
JournalAustralian Journal of Basic and Applied Sciences
Volume3
Issue number4
Publication statusPublished - Oct 1 2009
Externally publishedYes

Fingerprint

Gas lifts
Genetic algorithms
Tubing
Gases
Fluids
Gas supply
Multiphase flow
Water
Oils

Keywords

  • Continuous gas lift
  • Depth of injection
  • Gas injection rate
  • Genetic algorithm optimization
  • Tubing size

ASJC Scopus subject areas

  • General

Cite this

Khamehchi, E., Rashidi, F., Karimi, B., Pourafshary, P., & Amiry, M. (2009). Continuous gas lift optimization using genetic algorithm. Australian Journal of Basic and Applied Sciences, 3(4), 3919-3929.

Continuous gas lift optimization using genetic algorithm. / Khamehchi, Ehsan; Rashidi, Fariborz; Karimi, Behrooz; Pourafshary, Peyman; Amiry, Mohammad.

In: Australian Journal of Basic and Applied Sciences, Vol. 3, No. 4, 01.10.2009, p. 3919-3929.

Research output: Contribution to journalArticle

Khamehchi, E, Rashidi, F, Karimi, B, Pourafshary, P & Amiry, M 2009, 'Continuous gas lift optimization using genetic algorithm', Australian Journal of Basic and Applied Sciences, vol. 3, no. 4, pp. 3919-3929.
Khamehchi, Ehsan ; Rashidi, Fariborz ; Karimi, Behrooz ; Pourafshary, Peyman ; Amiry, Mohammad. / Continuous gas lift optimization using genetic algorithm. In: Australian Journal of Basic and Applied Sciences. 2009 ; Vol. 3, No. 4. pp. 3919-3929.
@article{d9fffadb486b4c73baa3627e55892d47,
title = "Continuous gas lift optimization using genetic algorithm",
abstract = "Gas lift is one of a number of processes used to artificially lift oil or water from wells where there is insufficient reservoir pressures to produce the well. The process involves injecting gas through the tubing-casing annulus. Injected gas aerates the fluid to reduce its density; the formation pressure is then able to lift the oil column and forces the fluid out of the wellbore. Gas may be injected continuously or intermittently, depending on the producing characteristics of the well and the arrangement of the gas-lift equipment. Being somehow an ancient tool with an age of over a century, gas lift is though still a challenging problem when overall optimization is the concern. When the injection gas is of a limited supply the problem is finding the best gas allocation scheme. However there are increasingly emerging cases in certain geographic localities where the gas supplies are usually unlimited. The optimization problem then totally travels to the wellbore and completion string and fully engages with multiphase flow concepts. In the present study an intelligent genetic algorithm has been developed to simultaneously optimize all effective factors namely, gas injection rate, injection depth and tubing diameter towards the maximum oil production rate with the water cut and injection pressure as the restrictions. The computations and real field data are mutually compared.",
keywords = "Continuous gas lift, Depth of injection, Gas injection rate, Genetic algorithm optimization, Tubing size",
author = "Ehsan Khamehchi and Fariborz Rashidi and Behrooz Karimi and Peyman Pourafshary and Mohammad Amiry",
year = "2009",
month = "10",
day = "1",
language = "English",
volume = "3",
pages = "3919--3929",
journal = "Australian Journal of Basic and Applied Sciences",
issn = "1991-8178",
publisher = "INSInet Publications",
number = "4",

}

TY - JOUR

T1 - Continuous gas lift optimization using genetic algorithm

AU - Khamehchi, Ehsan

AU - Rashidi, Fariborz

AU - Karimi, Behrooz

AU - Pourafshary, Peyman

AU - Amiry, Mohammad

PY - 2009/10/1

Y1 - 2009/10/1

N2 - Gas lift is one of a number of processes used to artificially lift oil or water from wells where there is insufficient reservoir pressures to produce the well. The process involves injecting gas through the tubing-casing annulus. Injected gas aerates the fluid to reduce its density; the formation pressure is then able to lift the oil column and forces the fluid out of the wellbore. Gas may be injected continuously or intermittently, depending on the producing characteristics of the well and the arrangement of the gas-lift equipment. Being somehow an ancient tool with an age of over a century, gas lift is though still a challenging problem when overall optimization is the concern. When the injection gas is of a limited supply the problem is finding the best gas allocation scheme. However there are increasingly emerging cases in certain geographic localities where the gas supplies are usually unlimited. The optimization problem then totally travels to the wellbore and completion string and fully engages with multiphase flow concepts. In the present study an intelligent genetic algorithm has been developed to simultaneously optimize all effective factors namely, gas injection rate, injection depth and tubing diameter towards the maximum oil production rate with the water cut and injection pressure as the restrictions. The computations and real field data are mutually compared.

AB - Gas lift is one of a number of processes used to artificially lift oil or water from wells where there is insufficient reservoir pressures to produce the well. The process involves injecting gas through the tubing-casing annulus. Injected gas aerates the fluid to reduce its density; the formation pressure is then able to lift the oil column and forces the fluid out of the wellbore. Gas may be injected continuously or intermittently, depending on the producing characteristics of the well and the arrangement of the gas-lift equipment. Being somehow an ancient tool with an age of over a century, gas lift is though still a challenging problem when overall optimization is the concern. When the injection gas is of a limited supply the problem is finding the best gas allocation scheme. However there are increasingly emerging cases in certain geographic localities where the gas supplies are usually unlimited. The optimization problem then totally travels to the wellbore and completion string and fully engages with multiphase flow concepts. In the present study an intelligent genetic algorithm has been developed to simultaneously optimize all effective factors namely, gas injection rate, injection depth and tubing diameter towards the maximum oil production rate with the water cut and injection pressure as the restrictions. The computations and real field data are mutually compared.

KW - Continuous gas lift

KW - Depth of injection

KW - Gas injection rate

KW - Genetic algorithm optimization

KW - Tubing size

UR - http://www.scopus.com/inward/record.url?scp=77953515054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953515054&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:77953515054

VL - 3

SP - 3919

EP - 3929

JO - Australian Journal of Basic and Applied Sciences

JF - Australian Journal of Basic and Applied Sciences

SN - 1991-8178

IS - 4

ER -