首页> 外文期刊>Journal of Energy Resources Technology >Prediction of Slug Liquid Holdup in Horizontal Pipes
【24h】

Prediction of Slug Liquid Holdup in Horizontal Pipes

机译:预测水平管中的残渣持液量

获取原文
获取原文并翻译 | 示例
       

摘要

Slug liquid holdup is a critical parameter of slug flow, which influences the average liquid holdup and pressure drop along pipelines. The objective of this study is to develop a new correlation to predict slug liquid holdup in horizontal pipes. A large data set with wide ranges of operational, geometrical, and physical property parameters was used to develop the new correlation. The new correlation is a function of one independent mechanistic dimensionless variable, namely, the momentum transfer rate between the slug body and the liquid film. Physical modeling and statistical analyses suggested the appropriateness of the dimensionless momentum transfer rate as an independent parameter, which accounts for a large part of the variation in slug liquid holdup. A correlation validation and comparison study showed the accuracy of the new correlation. The statistical evaluation of the correlation resulted in an average percent relative error and percent standard deviation of 4.1% and 2.4%, respectively. Furthermore, the developed correlation was compared with other correlations and showed superior performance among all correlations, with the lowest relative performance factor of 0.01.
机译:团状持液量是团状流的关键参数,它会影响平均持液量和沿管道的压降。这项研究的目的是开发一种新的相关性,以预测水平管道中的团状液体滞留量。具有广泛范围的操作,几何和物理属性参数的大数据集用于开发新的相关性。新的相关性是一个独立的机械无量纲变量的函数,即,块状体与液膜之间的动量传递速率。物理模型和统计分析表明,无量纲动量传递速率作为一个独立参数是适当的,这占了团状持液量变化的很大一部分。相关性验证和比较研究表明了新相关性的准确性。相关性的统计评估得出平均相对误差百分比和标准偏差百分比分别为4.1%和2.4%。此外,将已建立的相关性与其他相关性进行了比较,并显示了所有相关性中的优越性能,相对性能系数最低,为0.01。

著录项

  • 来源
    《Journal of Energy Resources Technology》 |2009年第2期|46-53|共8页
  • 作者

    Eissa Al-Safran;

  • 作者单位

    Department of Petroleum Engineering, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:31:00

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号