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首页> 外文期刊>Journal of natural gas science and engineering >An assessment of gas void fraction prediction models in highly viscous liquid and gas two-phase vertical flows
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An assessment of gas void fraction prediction models in highly viscous liquid and gas two-phase vertical flows

机译：高粘性液体和气体两相垂直流动的气体空隙分数预测模型的评估

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摘要

Gas void fraction plays a significant role in determination of several multiphase flow parameters. Good insight of its behaviour coupled with accurate prediction is imperative for design of efficient equipment which has the potential to translate to higher production rates in the petroleum industry. Against the background of the prevalence of higher viscous and imminent application of highly viscous liquids in the petroleum industry, air-water and air-low viscous liquid mixtures dominate gas void fraction research in vertical pipes. In this work, gas-liquid (mu(1) = 100 - 7000 mPa s) mixtures are used to investigate the behaviour of gas void fraction in vertical pipes. The influence of superficial phase velocities and liquid viscosity are observed. Further, a combined database consisting of experimental and the reported data of Schmidt et al. (2008) is employed to evaluate the predictions of 100 existing correlations. The results indicate that the Hibiki and Ishii (2003) and Bestion (1990) correlations are the overall best and second-best performing correlations. In the absence good performing correlations for churn and annular flows, two correlations each, based on drift flux and slip ratio, are developed respectively. Predictions from these correlations show good agreement with the database and comparable performance with the overall best correlations.
机译：气体空隙率在测定几个多相流动参数时起着重要作用。对其行为的良好见解加上准确的预测是对高效设备的迫切需要，这些设备具有转化为石油工业的更高产量的潜力。在石油工业中高粘度和即将应用的高粘度液体普遍应用的背景下，空气 - 水和空气 - 低粘性液体混合物在垂直管道中支配气体空隙率研究。在这项工作中，气液（MU（1）= 100-7000MPa S）混合物用于研究垂直管中的气体空隙率的行为。观察浅表速度和液体粘度的影响。此外，组合数据库由实验性和Schmidt等人的报告数据组成。 （2008）用于评估100个现有相关性的预测。结果表明，Hibiki和Ishii（2003）和最好的（1990）相关性是总体上最好和第​​二次表现相关的相关性。在不存在良好的潮流和环形流的相关性的情况下，分别基于漂移通量和滑移比进行两个相关性。从这些相关性的预测显示了与数据库的良好协议，以及具有总体最佳相关性的可比性。

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