Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics

The transportation of crude oil by pipelines has been reported as the most important process in petroleum industry. The pipe line corrosion problem is a very complex phenomena arising from the concurrent activation of several chemical reactions, one of the most popular instant of corrosion in the tw...

Full description

Saved in:

Bibliographic Details
Main Author:	Hussein, Hadeel Jalil
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/85842/1/HadeelJalilHusseinMSChE2019.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.85842
record_format	uketd_dc
spelling	my-utm-ep.858422020-07-30T07:35:10Z Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics 2019 Hussein, Hadeel Jalil TP Chemical technology The transportation of crude oil by pipelines has been reported as the most important process in petroleum industry. The pipe line corrosion problem is a very complex phenomena arising from the concurrent activation of several chemical reactions, one of the most popular instant of corrosion in the two phase flow oil water containing CO2 dissolved in water in pipe lines. The pipe line internal corrosion is under a synergistic effect o f electrochemical reactions, mass transfer and wall shear stress exerted by fluid flow and the effect o f flow velocity. In this work, computational fluid dynamics (CFD) simulations were performed to determine wall shear stress in oil-water two phase fluid flow in pipelines for two types of crude oils (different viscosities) at flow velocities of 0.2, 0.3, 0.5 and 1 m/s. The CFD based empirical model is able to predict corrosion rate of pipelines, with the modelling results validated by actual measurements. The input parameters to ANSYS Fluent are (viscosity, density and fluid flowing velocity), and the output of computer simulation is the wall shear stress. From the computer simulation results, the maximum value of wall shear stress occurs at the maximum value of velocity. From that the corrosion rate in the pipeline was determined by applying the corrosion rate equation at two different values of CO2 partial pressure. From the results, the wall shear stresses for the two crude oils were in different values depending on the properties of the crude. The result showed that corrosion rates for both crudes increased with increase in flow velocity and CO2 partial pressure. This study concluded that the ANSYS capability to predict the corrosion rate of the pipeline for two types of crude oil after determining the wall shear stress with different values of velocities. 2019 Thesis http://eprints.utm.my/id/eprint/85842/ http://eprints.utm.my/id/eprint/85842/1/HadeelJalilHusseinMSChE2019.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:131604 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering Faculty of Engineering - School of Chemical & Energy Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Hussein, Hadeel Jalil Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
description	The transportation of crude oil by pipelines has been reported as the most important process in petroleum industry. The pipe line corrosion problem is a very complex phenomena arising from the concurrent activation of several chemical reactions, one of the most popular instant of corrosion in the two phase flow oil water containing CO2 dissolved in water in pipe lines. The pipe line internal corrosion is under a synergistic effect o f electrochemical reactions, mass transfer and wall shear stress exerted by fluid flow and the effect o f flow velocity. In this work, computational fluid dynamics (CFD) simulations were performed to determine wall shear stress in oil-water two phase fluid flow in pipelines for two types of crude oils (different viscosities) at flow velocities of 0.2, 0.3, 0.5 and 1 m/s. The CFD based empirical model is able to predict corrosion rate of pipelines, with the modelling results validated by actual measurements. The input parameters to ANSYS Fluent are (viscosity, density and fluid flowing velocity), and the output of computer simulation is the wall shear stress. From the computer simulation results, the maximum value of wall shear stress occurs at the maximum value of velocity. From that the corrosion rate in the pipeline was determined by applying the corrosion rate equation at two different values of CO2 partial pressure. From the results, the wall shear stresses for the two crude oils were in different values depending on the properties of the crude. The result showed that corrosion rates for both crudes increased with increase in flow velocity and CO2 partial pressure. This study concluded that the ANSYS capability to predict the corrosion rate of the pipeline for two types of crude oil after determining the wall shear stress with different values of velocities.
format	Thesis
qualification_level	Master's degree
author	Hussein, Hadeel Jalil
author_facet	Hussein, Hadeel Jalil
author_sort	Hussein, Hadeel Jalil
title	Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
title_short	Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
title_full	Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
title_fullStr	Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
title_full_unstemmed	Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
title_sort	corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering
granting_department	Faculty of Engineering - School of Chemical & Energy Engineering
publishDate	2019
url	http://eprints.utm.my/id/eprint/85842/1/HadeelJalilHusseinMSChE2019.pdf
_version_	1747818462065983488

Corrosion rate prediction of oil flowing in pipe lines by using computational fluid dynamics

Similar Items