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Compositional model improves gas-lift optimization for Iranian oil field

机译:成分模型改善了伊朗油田的气举优化

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摘要

A simulation with a compositional model improved the accuracy when compared with a black-oil model for predicting the performance of gas-lift wells in the Aghajari oil field in Iran.The Marun oil field gas compressor station supplies the lift gas,which is drier and has a lower molecular weight than the gas from the Aghajari field separators.These differences in gas cause inconsistencies in black-oil model calculations.
机译:与用黑油模型预测伊朗Aghajari油田的气举井性能相比,使用成分模型进行的模拟提高了精度。具有比Aghajari场分离器产生的气体更低的分子量,这些气体差异导致黑油模型计算不一致。

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