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Title

Application of Hybrid Genetic Algorithm (HGA) For Optimization of Gas Allocation to a Group of Wells in Gas Lift in One of the Iranian Oil Field

Year: 1390
COI: IPEC03_069
Language: EnglishView: 755
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Authors

M. Ghaedi - Chemical and Petroleum Department, Sharif University of Technology, Tehran, Iran
B. Aminshahidy - Institute of Petroleum Engineering, University of Tehran, Tehran, Iran
S Ghotbi - Chemical and Petroleum Department, Sharif University of Technology, Tehran, Iran

Abstract:

In this work a hybrid genetic algorithm (HGA) was introduced to allocate optimum amount of gas to a group of wells in gas lift in the case of availability limited amount of gas. By comparing the result of the proposed HGA with those of previous works in a field with 6 wells, the ability of the proposed HGA was tested. Then for an Iranian southern west oil field with 9 wells, under conditions that different amounts of gas are available, the gas allocated to the wells.

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Paper COI Code

This Paper COI Code is IPEC03_069. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/260044/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Ghaedi, M. and Aminshahidy, B. and Ghotbi, S,1390,Application of Hybrid Genetic Algorithm (HGA) For Optimization of Gas Allocation to a Group of Wells in Gas Lift in One of the Iranian Oil Field,3rd Iranian Petroleum Engineering Congress,Tehran,https://civilica.com/doc/260044

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  • 167 3383.803 2344.323 2551.114 3005.679 3252.963 2066.432 2187.667 2341.732 ...
  • 2 15103.3 13260.5 14590.6 15593.2 14894.1 26930.4 27616.9 16567.1 ...
  • 2 5221 .1 7491 .9 8603.1 20699.1 24075.5 ...
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