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    Optimization of gas allocation to a group of wells in gas lift in one of the Iranian oil fields using an efficient hybrid genetic algorithm (HGA)

    , Article Petroleum Science and Technology ; Volume 31, Issue 9 , 2013 , Pages 949-959 ; 10916466 (ISSN) Ghaedi, M ; Ghotbi, C ; Aminshahidy, B ; Sharif University of Technology
    2013
    Abstract
    A hybrid genetic algorithm (HGA) was introduced to allocate optimum amount of gas. This method was applied to a group of wells in gas lift in the case of availability limited amount of gas. For testing the ability of the proposed HGA, the results of this work with those of previous works in a field with six wells were compared. Then for an Iranian southern west oil field with nine wells, gas allocation is performed using different amount of available gas. The results show that the introduced method (HGA) is very efficient tool in gas allocation issue  

    The optimization of gas allocation to a group of wells in a gas lift using an efficient Ant Colony Algorithm (ACO)

    , Article Energy Sources, Part A: Recovery, Utilization and Environmental Effects ; Vol. 36, Issue. 11 , 2014 , Pages 1234-1248 ; ISSN: 15567036 Ghaedi, M ; Ghotbi, C ; Aminshahidy, B ; Sharif University of Technology
    Abstract
    When the reservoir energy is too low for the well to flow, or the production rate desired is greater than the reservoir energy can deliver, using some kind of artificial lift method to provide the energy to bring the fluid to the surface, seems to be necessary. Continuous flow gas lift is one of the most common artificial lift methods widely used in the oil industry during which, at appropriate pressure, gas is injected in a suitable depth into the tubing to gasify the oil column, and thus assist the production. Each well has an optimal point at which it will produce the most oil. In ideal conditions, at which there is no limitation in the total amount of available gas, a sufficient amount...