Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach

This paper presents a probabilistic approach on analyzing internal corrosion defects formed in a Malaysian gas pipeline using an intelligent pigging (IP) device. The significant parameters of IP data and their characteristics in the pipeline are analysed through correlation and multivariate regress...

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Main Authors: Mustaffa, Z., Shams , Gholamreza, van Gelder, Pieter
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.7765 /
Published: 2009
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Online Access: http://eprints.utp.edu.my/7765/1/Z.Mustaffa_IPW%282009%29.pdf
http://eprints.utp.edu.my/7765/
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recordtype eprints
spelling utp-eprints.77652017-03-20T08:12:01Z Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach Mustaffa, Z. Shams , Gholamreza van Gelder, Pieter TJ Mechanical engineering and machinery TA Engineering (General). Civil engineering (General) This paper presents a probabilistic approach on analyzing internal corrosion defects formed in a Malaysian gas pipeline using an intelligent pigging (IP) device. The significant parameters of IP data and their characteristics in the pipeline are analysed through correlation and multivariate regression methods. Some insensitive parameters like the defect circumferential width which is normally ignored in the current design codes is given high priority in this analysis. These governing parameters are later evaluated to produce a new dimensionless limit state function that can best describe the characteristics of the de-fects. Results from the probabilistic analysis are compared to the results from the existing pipeline failure assessment codes. 2009-11 Article PeerReviewed application/pdf http://eprints.utp.edu.my/7765/1/Z.Mustaffa_IPW%282009%29.pdf Mustaffa, Z. and Shams , Gholamreza and van Gelder, Pieter (2009) Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach. Proceedings of the 7th International Probabilistic Workshop . pp. 451-464. http://eprints.utp.edu.my/7765/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic TJ Mechanical engineering and machinery
TA Engineering (General). Civil engineering (General)
spellingShingle TJ Mechanical engineering and machinery
TA Engineering (General). Civil engineering (General)
Mustaffa, Z.
Shams , Gholamreza
van Gelder, Pieter
Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
description This paper presents a probabilistic approach on analyzing internal corrosion defects formed in a Malaysian gas pipeline using an intelligent pigging (IP) device. The significant parameters of IP data and their characteristics in the pipeline are analysed through correlation and multivariate regression methods. Some insensitive parameters like the defect circumferential width which is normally ignored in the current design codes is given high priority in this analysis. These governing parameters are later evaluated to produce a new dimensionless limit state function that can best describe the characteristics of the de-fects. Results from the probabilistic analysis are compared to the results from the existing pipeline failure assessment codes.
format Article
author Mustaffa, Z.
Shams , Gholamreza
van Gelder, Pieter
author_sort Mustaffa, Z.
title Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
title_short Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
title_full Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
title_fullStr Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
title_full_unstemmed Evaluating the Characteristics of Marine Pipelines Inspection Data Using Probabilistic Approach
title_sort evaluating the characteristics of marine pipelines inspection data using probabilistic approach
publishDate 2009
url http://eprints.utp.edu.my/7765/1/Z.Mustaffa_IPW%282009%29.pdf
http://eprints.utp.edu.my/7765/
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score 11.62408