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Research Papers: Multiphase Flows

Initiation and Statistical Evolution of Horizontal Slug Flow With a Two-Fluid Model

[+] Author and Article Information
A. O. Nieckele

Department of Mechanical Engineering,
Catholic University of Rio de Janeiro,
PUC-Rio, 22451-900,
Rio de Janeiro, RJ, Brazil
e-mail: nieckele@puc-rio.br

J. N. E. Carneiro

Instituto SINTEF do Brasil,
22290-160, Rio de Janeiro, RJ, Brazil
e-mail: joao.carneiro@sintefbrasil.org.br

R. C. Chucuya

Mechanical Electrical School,
University of San Pedro,
UPSP, Chimbote, Peru
e-mail: roberto_chucuya@yahoo.es

J. H. P. Azevedo

Department of Mechanical Engineering,
Catholic University of Rio de Janeiro,
PUC-Rio, 22451-900,
Rio de Janeiro, RJ, Brazil
e-mail: joao.hpa@hotmail.com

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received October 23, 2012; final manuscript received July 22, 2013; published online September 19, 2013. Assoc. Editor: Francine Battaglia.

J. Fluids Eng 135(12), 121302 (Sep 19, 2013) (11 pages) Paper No: FE-12-1533; doi: 10.1115/1.4025223 History: Received October 23, 2012; Revised July 22, 2013

In the present work, the onset and subsequent development of slug flow in horizontal pipes is investigated by solving the transient one-dimensional version of the two-fluid model in a high resolution mesh using a finite volume technique. The methodology (named slug-capturing) was proposed before in the literature and the present work represents a confirmation of its applicability in predicting this very complex flow regime. Further, different configurations are analyzed here and comparisons are performed against different sets of experimental data. Predictions for mean slug variables were in good agreement with experimental data. Additionally, focus is given to the statistical properties of slug flows such as shapes of probability density functions of slug lengths (which were represented by gamma and log-normal distributions) as well as the evolution of the first statistical moments, which were shown to be well reproduced by the methodology.

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References

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Figures

Grahic Jump Location
Fig. 1

Pipeline parameters

Grahic Jump Location
Fig. 3

Evolution of instantaneous and mean flow variables (a) liquid holdup (b) liquid velocity

Grahic Jump Location
Fig. 4

Grid convergence test. Case 2.2 (a) slug and bubble length (b) slug and bubble velocity (c) frequency.

Grahic Jump Location
Fig. 5

Liquid level build-up, wave and slug growth during slug formation

Grahic Jump Location
Fig. 6

Decaying wave and liquid level build-up

Grahic Jump Location
Fig. 7

Slug decay and slug growth due to wave overtaking

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Fig. 8

Holdup evolution for case 2.1

Grahic Jump Location
Fig. 9

Comparison of pressure drop with Lockhart and Martinelli correlation

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Fig. 10

Comparison of time average gas void fraction with Chisholm correlation

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Fig. 11

Slug frequency, configuration 1

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Fig. 12

Slug length PDF, configuration 1

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Fig. 13

Axial evolution of mean and standard deviation of logarithmic slug length, configuration 1

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Fig. 14

Nose and tail slug velocity distribution factors, configuration 1

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Fig. 15

Mean slug length distribution along the pipe, configuration 2

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Fig. 16

Mean bubble length distribution, configuration 2

Grahic Jump Location
Fig. 17

PDF distribution of slug length, configuration 2

Grahic Jump Location
Fig. 18

Axial evolution of mean and standard deviation of logarithmic slug length, configuration 2

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