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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)

Ghaedi, M ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1080/10916466.2010.535081
  3. Publisher: 2013
  4. Abstract:
  5. 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
  6. Keywords:
  7. Gas lift ; Genetic algorithm ; production optimization ; Gas allocations ; Hybrid genetic algorithms ; Optimization of gas allocation ; Production optimization ; Ability testing ; Gas lifts ; Gases ; Oil fields ; Optimization ; Well testing ; Genetic algorithms
  8. Source: Petroleum Science and Technology ; Volume 31, Issue 9 , 2013 , Pages 949-959 ; 10916466 (ISSN)
  9. URL: http://www.tandfonline.com/doi/abs/10.1080/10916466.2010.535081#.VjiOzy6Hi-E