凝析气井产能模型——以尼日尔三角洲凝析气藏为例

Idahosa Ehibor, I. Ohenhen, Bukolo Oloyede, Gbenga Adetoyi, Tochukwu Amaechi, Olanike Olajide, A. Kaka, Anthony Woyengidiripre
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引用次数: 0

摘要

当井底压力低于露点压力时,会在井筒附近积聚凝析气,从而使液体部分凝结出气相。一旦井筒附近的聚集物超过临界凝析油饱和度,液相就会随气相流动,影响井的产能,并且由于流体的两相流动,使储层的气凝析油流量难以估计。本文提出了一种评价储层油井产能的分析模型。将两相拟压力概念应用于凝析气藏产能的解释和评价中。该模型考虑了非达西流动效应和毛细效应。该模型应用于尼日尔三角洲凝析气藏的现场案例研究,以确定井的产能。与成分模拟模型相比,该模型的气液产量曲线精度达到95%。该模型使用python编码到电子表格程序中,以计算井的产能参数。
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Gas Condensate Well Deliverability Model, a Field Case Study of a Niger Delta Gas Condensate Reservoir
Gas condensate banking accumulated near the wellbore occurs when the bottomhole pressure becomes less than the dew point pressure, allowing the liquid fraction to condense out of the gas phase. Once the accumulation near the wellbore is higher than critical condensate saturation, the liquid phase becomes mobile with the gas phase, affecting well deliverability and making it difficult to estimate gas and condensate flow rate from the reservoir due to two phase flow of fluid. This paper presents an analytical model that evaluates the well deliverability from the reservoir. The concept of two phases Pseudo-pressure is used in the interpretation and evaluation of well deliverability from the gas condensate reservoir. The model considers non-Darcy flow effects and capillary effects. The model is applied to a live field case study of a Niger Delta gas condensate reservoir to determine well deliverability. Gas and liquid production profile from the model showed 95% accuracy when compared with compositional simulation model. This model is encoded into a spreadsheet program using python to calculate well deliverability parameters.
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