Two-Phase Slug Flow Correlations for Severe Slugging in Subsea Pipelines

L. Igbokwe, G. Naterer, S. Zendehboudi
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Abstract

Slug flows in multiphase petroleum fluids may present substantial challenges to the economical and safe operation of equipment used for oil recovery, flow separation and stabilization. Two-phase slug flow parameters provide key information in the design of downstream separation installation, particularly in slug dominated flows. In this paper, a dimensionless analysis based on the Buckingham pi theorem will be used to develop and analyze new slug velocity correlations. The empirical model uses relevant dimensionless numbers including the Reynolds number, Bejan number, and the density ratio. The new model can be used in the selection of operating conditions and secondary recovery mechanisms. Over 5,000 data points were used for the analysis, covering choke openings between 10 and 100 percent, and Reynolds numbers between 150 and 400. The dimensionless numbers in the correlations show the dependence of the slug velocity on differential pressure, choke valve opening, and mixture flowrate. The correlation predicts 90% of the measurements within a 10% maximum percentage error. The mean absolute deviation of the correlation is about 9%. The model can be applied for low flow rates typical of some flow conditions in subsea pipelines, and choke openings between 10-98%. The correlation can predict the slug velocity and production rates for vertical and catenary riser systems. Keywordssubsea pipelines; severe slugging; dimensionless analysis; two phase flow; oil recovery.
海底管道严重段塞流的两相段塞流相关性
多相石油流体中的段塞流可能会给用于采油、分离和稳定的设备的经济和安全操作带来重大挑战。两相段塞流参数为下游分离装置的设计提供了关键信息,特别是在段塞流主导的流动中。在本文中,基于Buckingham pi定理的无量纲分析将用于开发和分析新的段塞流速度相关性。经验模型使用了相关的无因次数,包括雷诺数、贝让数和密度比。该模型可用于操作条件和二次采收率机制的选择。超过5000个数据点用于分析,涵盖了10%到100%的节流孔,以及150到400之间的雷诺数。关系式中的无因次数表明段塞流速度与压差、节流阀开度和混合气流量有关。相关性在10%的最大百分比误差范围内预测90%的测量结果。相关性的平均绝对偏差约为9%。该模型可应用于海底管道中某些流动条件下典型的低流量,以及节流口开度在10-98%之间。该相关性可以预测垂直和悬链线立管系统的段塞速度和产量。Keywordssubsea管道;严重的重击;无量纲分析;两相流;石油复苏。
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