凝析气藏典型流体PVT分析的综合表征与调优策略

S. Osfouri, R. Azin, H. Amiri, Zahra Rezaei, M. Moshfeghian
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引用次数: 3

摘要

凝析气藏的特点是在生产和取样过程中具有明显的逆行行为和凝析液漏出的可能性。要对凝析气藏进行有效的建模,就需要对油藏开采前和开采期间收集的样品进行仔细的相行为研究。在这项工作中,提出了一种集成表征和调谐算法来分析凝析气样品的压力-体积-温度(PVT)行为。每个表征和调优场景都通过一个“路径”来描述,该路径指定流体的类别、分裂和集总(如果有的话)、关联类型和分组策略(静态或动态)。测试了不同表征方法对重端的有效描述。同时,采用动态和静态策略,通过非线性回归对状态方程(EOS)进行调整。通过对结果的严格分析,探索了表征和调谐方法的最佳组合。结果表明,在动态调谐策略中,指数分布函数对重端表征的效果最好。此外,分析表明,使用更高的单碳数不一定会使EOS调优更准确。此外,在动态调谐方法中,大多数情况下在第三步或第四步达到最佳步骤,并且对表征路径和所选择的端碳数都不敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Characterization and a Tuning Strategy for the PVT Analysis of Representative Fluids in a Gas Condensate Reservoir
Gas condensate reservoirs are characterized by a distinctive retrograde behavior and potential for condensate drop out during production and sampling. Efficient modeling of gas condensate reservoir requires careful phase behavior studies of samples collected prior to and during the production life of reservoir. In this work, an integrated characterization and tuning algorithm is proposed to analyze the pressure-volume-temperature (PVT) behavior of gas condensate samples. Each characterization and tuning scenario is described by a “path” which specifies the class of fluid, splitting and lumping (if any), the type of correlation, and grouping strategy (static or dynamic). Different characterization approaches were tested for the effective description of heavy end. Meanwhile, dynamic and static strategies were implemented to tune the equation of state (EOS) through non-linear regression. The optimum combination of characterization and tuning approach was explored for each sample by a rigorous analysis of the results. It was found out that the exponential distribution function gives the best performance for heavy end characterization in a dynamic tuning strategy. Also, analyses indicate that using higher single carbon number may not necessarily make EOS tuning more accurate. In addition, the optimum step is reached in either the third or fourth step for most cases in a dynamic tuning approach, and is sensitive neither to the characterization path nor to the selected end carbon number.
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