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An evaluation of the performance of phenomenological models for predicting pressure gradient during gas-liquid flow in horizontal pipelines

机译:现象学模型在水平管道气液流动过程中预测压力梯度的性能评估

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A review of the literature has revealed the lack of a formal analysis of the performance of phenomenological methods for the prediction of pressure drop during gas-liquid two-phase flow. A number of models describing various horizontal flow patterns are evaluated against a large experimental data bank using a logarithmic statistical analysis technique. It is shown that the precision and accuracy of phenomenological models are equal to those of empirical methods, while the probability density function is less sensitive to changes in fluid system. Two composite methods consisting only of phenomenological models are defined. The second of these methods generates predictions that are more reliable over the entire range of the data bank than all empirical methods included in the study. It achieves a 10% reduction in scatter (S-ln,) compared to the best empirical methods. This method is also shown to be less sensitive to changes in fluid system. (C) 2000 Elsevier Science Ltd. All rights reserved. [References: 32]
机译:文献综述显示,缺乏对用于预测气液两相流动过程中压降的现象学方法性能的形式分析。使用对数统计分析技术,针对大型实验数据库评估了许多描述各种水平流模式的模型。结果表明,现象学模型的精度和准确性与经验方法相同,而概率密度函数对流体系统变化的敏感性较小。定义了两种仅由现象模型组成的复合方法。这些方法中的第二种方法生成的预测在数据库的整个范围内比研究中包括的所有经验方法都更可靠。与最佳的经验方法相比,它可将散射(S-ln)降低10%。该方法还显示出对流体系统变化不那么敏感。 (C)2000 Elsevier ScienceLtd。保留所有权利。 [参考:32]

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