Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells

In multiphase flow engineering operations, the pipelines that convey viscous fluids are subjected to interior friction where the pipe wall meets the fluid. The friction on the inner surface of the pipe causes energy losses. The losses are exhibited as a progressive pressure drop over the length of t...

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Main Authors: Ganat, Tarek A., Hrairi, Meftah, Belladonna, Maulianda, Eghbal, Motaei
Format: Article
Language:English
English
English
Published: Springer Berlin Heidelberg 2019
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spelling my.iium.irep.708142020-04-10T01:37:21Z http://irep.iium.edu.my/70814/ Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells Ganat, Tarek A. Hrairi, Meftah Belladonna, Maulianda Eghbal, Motaei T Technology (General) TJ Mechanical engineering and machinery In multiphase flow engineering operations, the pipelines that convey viscous fluids are subjected to interior friction where the pipe wall meets the fluid. The friction on the inner surface of the pipe causes energy losses. The losses are exhibited as a progressive pressure drop over the length of the pipe that varies with the fluid flow rate. This study develops a computational method to estimate the pressure change at any flow condition of multiphase flow (oil, gas, and water) inside a vertical pipe by developing fluid mechanics equations and using empirical correlations. Darcy and Colebrook friction factor correlations were used to ratify the predicted frictional pressure drop by computational method outcomes. OLGA dynamic simulation software was used to validate the accuracy of the computational method results. A sensitivity analysis was performed to evaluate the performance of the developed computational method, by using different well flow rate, pipe size diameter, and fluid properties. The frictional pressure drop estimation by computational method has acceptable accuracy and it is located within the accepted average relative error band (±20%). The overall performance of the method is satisfactory when compared with other observations. Springer Berlin Heidelberg 2019-08-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/70814/13/70814_Analytical%20model%20for%20predicting%20frictional%20pressure%20drop_article%20for%20myra.pdf application/pdf en http://irep.iium.edu.my/70814/2/70814_Analytical%20model%20for%20predicting_scopus.pdf application/pdf en http://irep.iium.edu.my/70814/14/70814_Analytical%20model%20for%20predicting%20frictional%20pressure%20drop_wos.pdf Ganat, Tarek A. and Hrairi, Meftah and Belladonna, Maulianda and Eghbal, Motaei (2019) Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells. Heat and Mass Transfer, 55 (8). pp. 2137-2151. ISSN 0947-7411 E-ISSN 1432-1181 https://link.springer.com/article/10.1007%2Fs00231-019-02565-6 10.1007/s00231-019-02565-6
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Ganat, Tarek A.
Hrairi, Meftah
Belladonna, Maulianda
Eghbal, Motaei
Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
description In multiphase flow engineering operations, the pipelines that convey viscous fluids are subjected to interior friction where the pipe wall meets the fluid. The friction on the inner surface of the pipe causes energy losses. The losses are exhibited as a progressive pressure drop over the length of the pipe that varies with the fluid flow rate. This study develops a computational method to estimate the pressure change at any flow condition of multiphase flow (oil, gas, and water) inside a vertical pipe by developing fluid mechanics equations and using empirical correlations. Darcy and Colebrook friction factor correlations were used to ratify the predicted frictional pressure drop by computational method outcomes. OLGA dynamic simulation software was used to validate the accuracy of the computational method results. A sensitivity analysis was performed to evaluate the performance of the developed computational method, by using different well flow rate, pipe size diameter, and fluid properties. The frictional pressure drop estimation by computational method has acceptable accuracy and it is located within the accepted average relative error band (±20%). The overall performance of the method is satisfactory when compared with other observations.
format Article
author Ganat, Tarek A.
Hrairi, Meftah
Belladonna, Maulianda
Eghbal, Motaei
author_facet Ganat, Tarek A.
Hrairi, Meftah
Belladonna, Maulianda
Eghbal, Motaei
author_sort Ganat, Tarek A.
title Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
title_short Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
title_full Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
title_fullStr Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
title_full_unstemmed Analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
title_sort analytical model for predicting frictional pressure drop in upward vertical two-phase flowing wells
publisher Springer Berlin Heidelberg
publishDate 2019
url http://irep.iium.edu.my/70814/13/70814_Analytical%20model%20for%20predicting%20frictional%20pressure%20drop_article%20for%20myra.pdf
http://irep.iium.edu.my/70814/2/70814_Analytical%20model%20for%20predicting_scopus.pdf
http://irep.iium.edu.my/70814/14/70814_Analytical%20model%20for%20predicting%20frictional%20pressure%20drop_wos.pdf
http://irep.iium.edu.my/70814/
https://link.springer.com/article/10.1007%2Fs00231-019-02565-6
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