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Effect of Compositional Grading on Reservoir Fluid Characterization: Case Study

机译:组合物分级对储层液体特性的影响:案例研究

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The variation of fluid composition with depth in a reservoir is called compositional grading. As depth increases, the mole fraction of light components decreases, density increases andGOR decreases. In the case of these reservoirs prediction of phase behavior and accurate characterization of reservoir fluids becomes more critical. The reservoir under study is a saturated oil reservoir with a large initial gas cap and a tall column of oil. This fractured carbonate reservoir contains intermediate oil and is produced under natural depletion mechanism at the all of its life time. In this work several complete PVT reports from different depths of Asmari reservoir that show definite variations in composition and physical properties (especially saturation pressure), and some other reservoir/field data were used. Two fluid samples were chosen as the most representative samples, one for light samples and another for heavy samples. Also an optimum regression method was applied using a PVT package to characterize the reservoir fluid system. Finally results were prepared to use in Asmari reservoir simulation.
机译:在储层中具有深度的流体组合物的变化称为组成分级。随着深度的增加,光部件的摩尔分数降低,密度增加Andgor降低。在这些储存器的情况下,对储层流体的准确表征的储存器预测变得更为重要。研究中的储层是一种饱和的油藏,具有大的初始气体帽和高柱的油。该裂缝的碳酸盐储层含有中间体油,并在其所有寿命时在天然耗尽机制下生产。在这项工作中,来自Asmari水库的不同深度的几个完整的PVT报告,显示了组成和物理性质(特别是饱和压力)的确定变化,以及使用一些其他储层/场数据。选择两个流体样品作为最具代表性的样品,一个用于轻型样品,另一个用于重质样品。还使用PVT封装施加最佳回归方法,以表征储存器流体系统。最后,成果准备用于Asmari储层模拟。

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