Modeling of External Metal Loss for Corroded Buried Pipeline

Siti Rabeah, Othman and Nordin, Yahaya and Norhazilan, Md Noor and Lim, Kar Sing and Zardasti, Libriati and Ahmad Safuan, A. Rashid (2017) Modeling of External Metal Loss for Corroded Buried Pipeline. Journal of Pressure Vessel Technology, 139 (3). 031702. ISSN 0094-9930 (print); 1528-8978 (online). (Published)

[img]
Preview
PDF
fkasa-2017-othman-Modeling of External Metal Loss1.pdf

Download (42kB) | Preview

Abstract

A statistical predictive model to estimate the time dependence of metal loss (ML) for buried pipelines has been developed considering the physical and chemical properties of soil. The parameters for this model include pH, chloride content, caliphate content (SO), sulfide content, organic content (ORG), resistivity (RE), moisture content (WC), clay content (CC), plasticity index (PI), and particle size distribution. The power law-based time dependence of the ML was modeled as P = ktv, where t is the time exposure, k is the metal loss coefficient, and v is the corrosion growth pattern. The results were analyzed using statistical methods such as exploratory data analysis (EDA), single linear regression (SLR), principal component analysis (PCA), and multiple linear regression (MLR). The model revealed that chloride (CL), resistivity (RE), organic content (ORG), moisture content (WC), and pH were the most influential variables on k, while caliphate content (SO), plasticity index (PI), and clay content (CC) appear to be influential toward v. The predictive corrosion model based on data from a real site has yielded a reasonable prediction of metal mass loss, with an R2 score of 0.89. This research has introduced innovative ways to model the corrosion growth for an underground pipeline environment using measured metal loss from multiple pipeline installation sites. The model enables predictions of potential metal mass loss and hence the level of soil corrosivity for Malaysia.

Item Type: Article
Uncontrolled Keywords: Underground corrosion; pipeline; soil resistivity; power low model
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Civil Engineering & Earth Resources
Depositing User: Mr. Mohd Safwan Rizal Saripudin
Date Deposited: 16 Oct 2017 01:50
Last Modified: 11 Jan 2018 07:14
URI: http://umpir.ump.edu.my/id/eprint/18760
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item