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Petroleum Transport/Pipelines/Multiphase Flow

State of the Art of Experimental Studies and Predictive Methods for Slug Liquid Holdup

[+] Author and Article Information
Eduardo Pereyra

McDougall School of Petroleum Engineering,  The University of Tulsa, Tulsa, OK 74104ep@utulsa.edu

Rosnayi Arismendi

McDougall School of Petroleum Engineering,  The University of Tulsa, Tulsa, OK 74104nayiarismendi@gmail.com

Luis E. Gomez

McDougall School of Petroleum Engineering,  The University of Tulsa, Tulsa, OK 74104lgm@utulsa.edu

Ram S. Mohan

Department of Mechanical Engineering,  The University of Tulsa, Tulsa, OK 74104Ram-mohan@utulsa.edu

Ovadia Shoham

 McDougall School of Petroleum Engineering, The University of Tulsa, Tulsa, OK 74104os@utulsa.edu

Gene E. Kouba

 Chevron Energy Technology Company, Houston, TX 77002GeneKouba@chevron.com

J. Energy Resour. Technol 134(2), 023001 (Mar 19, 2012) (9 pages) doi:10.1115/1.4005658 History: Received June 04, 2010; Revised November 02, 2011; Published March 16, 2012; Online March 19, 2012

A summary of all available correlations and mechanistic models for the prediction of slug liquid holdup is presented. Additionally, an experimental data base for slug liquid holdup has been collected from available literature. A comparison between the predictions of available models and correlations against the data base is presented, identifying the range of applicability of the different methods. The correlations have been tuned against the new data by calculating new values of their constant parameters, showing an improved performance. Also, the uncertainties of the correlations parameters are evaluated and presented. A recommendation for the best method of predicting the slug liquid holdup is provided.

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Copyright © 2012 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Schematic of slug flow aeration phenomenon

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Figure 2

Aeration phenomenon mass balance

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Figure 3

Measured liquid holdup within the liquid slug zone. Nadler and Mewes [3].

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Figure 4

Comparison of Nuland [4] and Kouba [18] data

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Figure 5

Comparison of dHLLS /dvSL for capacitance sensors and gamma densitometers

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