Improving Gas Allocation Optimization to a Group of Wells in Gas Lift Using an Efficient Hybrid Genetic Algorithm (HGA)-Reference-Cited by-同舟云学术

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Improving Gas Allocation Optimization to a Group of Wells in Gas Lift Using an Efficient Hybrid Genetic Algorithm (HGA)

Published:2014-09-05 Issue:21 Volume:36 Page:2361-2375
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Ghaedi M.,Aminshahidy B.,Ghotbi C.

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

http://www.tandfonline.com/doi/pdf/10.1080/15567036.2011.569835

Reference15 articles.

1. Global Optimization of Gas Allocation to a Group of Wells in Artificial Lift Using Nonlinear Constrained Programming

2. Intermittent gas lift in Aghajari oil field, a mathematical study

3. A New Method of Constrained Optimization and a Comparison With Other Methods

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of gas lift production of oil wells;8TH ENGINEERING AND 2ND INTERNATIONAL CONFERENCE FOR COLLEGE OF ENGINEERING – UNIVERSITY OF BAGHDAD: COEC8-2021 Proceedings;2023

2. Gas lift optimization: A review;AIP Conference Proceedings;2022

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