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All Journal International Journal of Industrial Optimization (IJIO)
Mgbemena, Chinedum Ogonna
Unknown Affiliation
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Gas lift optimization in the oil and gas production process: a review of production challenges and optimization strategies Okorocha, Ikenna Tobechukwu; Chinwuko, Chuka Emmanuel; Mgbemena, Chika Edith; Mgbemena, Chinedum Ogonna
International Journal of Industrial Optimization Vol 1, No 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.541 KB) | DOI: 10.12928/ijio.v1i2.2470

Abstract

Gas Lift operation involves the injection of compressed gas into a low producing or non-performing well to maximize oil production. The oil produced from a gas lift well is a function of the gas injection rate. The optimal gas injection rate is achieved by optimization. However, the gas lift, which is an artificial lift process, has some drawbacks such as the deterioration of the oil well, incorrect production metering, instability of the gas compressor, and over injection of gas. This paper discusses the various optimization techniques for the gas lift in the Oil and Gas production process. A systematic literature search was conducted on four databases, namely Google Scholar, Scopus, IEE Explore and DOAJ, to identify papers that focused on Gas lift optimizations. The materials for this review were collected primarily via database searches. The major challenges associated with gas lift were identified, and the different optimization strategies available in the literature reviewed. The strategies reviewed were found to be based on artificial intelligence (AI) and machine learning (ML). The implementation of any of the optimization strategies for the gas lift will enhance profitability, reduce operational cost, and extend the life of the wells.
Co-Authors Chinwuko, Chuka Emmanuel Mgbemena, Chika Edith Okorocha, Ikenna Tobechukwu