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Investigating the Effect of Capillary Number onPerformance Prediction of an Iranian FracturedGas Condensate Reservoir

机译:研究毛细管数对伊朗裂缝性凝析气藏性能预测的影响

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摘要

Gas condensate reservoirs are one of the most complicated reservoirs in which the special thermodynamic behavior of reservoir fluid leads to condensate buildup instead of gas expansion, when the reservoir pressure drops below dew point pressure. To justify the phase behavior of such reservoirs, several models have been proposed. One of the models is a capillary number model that has a considerable effect on the shape of relative permeability curves. Taking account of capillary number is shown to improve the performance prediction of gas condensate reservoirs that otherwise is poorly predicted. In pressures below dew point pressure, velocity and surface tension between gas and oil increases more rapidly in the vicinity of the well compared with other parts of the reservoir, which results in condensate saturation reduction and gas relative permeability improvement. The authors model a fractured gas condensate reservoir with and without taking capillary number into consideration;;the performance prediction results are compared to the actual results. The model with capillary number included is shown to be able to predict the performance with a greater accuracy than the case without capillary number.
机译:气体冷凝水储层是最复杂的储层之一,当储层压力降至露点压力以下时,储层流体的特殊热力学行为会导致凝结液堆积而不是气体膨胀。为了证明这种储层的相态合理性,提出了几种模型。模型之一是毛细管数模型,该模型对相对渗透率曲线的形状有很大影响。考虑到毛细管数,可以改善对气体凝析油藏性能的预测,否则很难预测。在低于露点压力的压力下,与油藏的其他部分相比,井附近的天然气和石油之间的速度和表面张力增加得更快,这导致凝析油饱和度降低和气体相对渗透率提高。作者在不考虑毛细管数的情况下对裂缝性凝析气藏进行了建模;将性能预测结果与实际结果进行了比较。与没有毛细管编号的情况相比,包含毛细管编号的模型显示出能够更准确地预测性能。

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