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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)

机译:使用高效混合遗传算法(HGA)优化伊朗一个油田的气举井中一组井的天然气分配

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摘要

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.
机译:引入了一种混合遗传算法(HGA)来分配最佳气体量。在可用气量有限的情况下,此方法应用于气举中的一组井。为了测试拟议的HGA的能力,将这项工作的结果与以前在6口井中的工作结果进行了比较。然后,对于拥有9口井的伊朗南部西部油田,使用不同数量的可用天然气进行天然气分配。结果表明,所提出的方法(HGA)是解决气体分配问题的非常有效的工具。

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