Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process

Two-phase flow in pipes occurs frequently in refineries, oil and gas production facilities and petrochemical units. The accurate design of such processing plants requires that numerical algorithms be combined with suitable models for predicting expected pressure drops. In performing such calculation...

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Main Authors: Teixeira R.G.D., Secchi A. R., Biscaia E. C.
Format: Article
Language:English
Published: EDP Sciences 2015-03-01
Series:Oil & Gas Science and Technology
Online Access:http://dx.doi.org/10.2516/ogst/2013191
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spelling doaj-4b65ec9fa51a490c82cad6c29326dcd12021-02-02T01:37:15ZengEDP SciencesOil & Gas Science and Technology1294-44751953-81892015-03-0170349751010.2516/ogst/2013191ogst120305Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining ProcessTeixeira R.G.D.Secchi A. R.Biscaia E. C.Two-phase flow in pipes occurs frequently in refineries, oil and gas production facilities and petrochemical units. The accurate design of such processing plants requires that numerical algorithms be combined with suitable models for predicting expected pressure drops. In performing such calculations, pressure gradients may be obtained from empirical correlations such as Beggs and Brill, and they must be integrated over the total length of the pipe segment, simultaneously with the enthalpy-gradient equation when the temperature profile is unknown. This paper proposes that the set of differential and algebraic equations involved should be solved as a Differential Algebraic Equations (DAE) System, which poses a more CPU-efficient alternative to the “marching algorithm” employed by most related work. Demonstrating the use of specific regularization functions in preventing convergence failure in calculations due to discontinuities inherent to such empirical correlations is also a key feature of this study. The developed numerical techniques are then employed to examine the sensitivity to heat-transfer parameters of the results obtained for a typical refinery two-phase flow design problem.http://dx.doi.org/10.2516/ogst/2013191
collection DOAJ
language English
format Article
sources DOAJ
author Teixeira R.G.D.
Secchi A. R.
Biscaia E. C.
spellingShingle Teixeira R.G.D.
Secchi A. R.
Biscaia E. C.
Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
Oil & Gas Science and Technology
author_facet Teixeira R.G.D.
Secchi A. R.
Biscaia E. C.
author_sort Teixeira R.G.D.
title Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
title_short Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
title_full Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
title_fullStr Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
title_full_unstemmed Two-Phase Flow in Pipes: Numerical Improvements and Qualitative Analysis for a Refining Process
title_sort two-phase flow in pipes: numerical improvements and qualitative analysis for a refining process
publisher EDP Sciences
series Oil & Gas Science and Technology
issn 1294-4475
1953-8189
publishDate 2015-03-01
description Two-phase flow in pipes occurs frequently in refineries, oil and gas production facilities and petrochemical units. The accurate design of such processing plants requires that numerical algorithms be combined with suitable models for predicting expected pressure drops. In performing such calculations, pressure gradients may be obtained from empirical correlations such as Beggs and Brill, and they must be integrated over the total length of the pipe segment, simultaneously with the enthalpy-gradient equation when the temperature profile is unknown. This paper proposes that the set of differential and algebraic equations involved should be solved as a Differential Algebraic Equations (DAE) System, which poses a more CPU-efficient alternative to the “marching algorithm” employed by most related work. Demonstrating the use of specific regularization functions in preventing convergence failure in calculations due to discontinuities inherent to such empirical correlations is also a key feature of this study. The developed numerical techniques are then employed to examine the sensitivity to heat-transfer parameters of the results obtained for a typical refinery two-phase flow design problem.
url http://dx.doi.org/10.2516/ogst/2013191
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