Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)

Inspection data obtained from in-line inspection is useful to assess present integrity as well as to predict future integrity of pipeline by using statistical and probabilistic analyses and simulation process. However, numerical errors arise when all the inspection data are used in the analysis. Num...

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Main Author: Ann, See Peng
Format: Thesis
Language:English
Published: 2008
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Online Access:http://eprints.utm.my/id/eprint/11446/1/AnnSeePengMFKA2008.pdf
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spelling my-utm-ep.114462018-07-23T05:37:10Z Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline) 2008-06 Ann, See Peng TA Engineering (General). Civil engineering (General) Inspection data obtained from in-line inspection is useful to assess present integrity as well as to predict future integrity of pipeline by using statistical and probabilistic analyses and simulation process. However, numerical errors arise when all the inspection data are used in the analysis. Numerical error arises because failure probability due to a single extreme corrosion out of huge quantity of corrosion data has been greatly reduced. Thus, in this study, extreme values analysis using extreme value theory, peaks-over-threshold method or combination of both methods is adopted to analyze the inspection data. This aims to eliminate the “low-risk” data in the analysis in order for extreme values to be emphasized. Based on the result, high threshold value will lead to high failure probability. However, the optimum threshold value is limited by the number of remaining data. Meanwhile, extreme value distribution is also efficient in indicating an early failure probability. Instead, combination of both methods results an overestimated failure probability. 2008-06 Thesis http://eprints.utm.my/id/eprint/11446/ http://eprints.utm.my/id/eprint/11446/1/AnnSeePengMFKA2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering Boyun, G., Shanhong, S., Jacob, C. and Ali, G., (2005). Offshore Pipelines. Oxford: Gulf Professional Publishing Cramer, E., Gharpuray, D., Marley, M., Sigurdsson, G. and Bjornoy, O.H. (1999). Risk Based Assessment of Corroded Pipelines. Kuala Lumpur: OGM’99. 1-17. DNV (1999). Recommended Practice RP-F101 for Corroded Pipelines 1999. Norway: Det Norske Veritas. Dodson, B. (1994). Weibull Analysis. Milwaukee: ASQC Quality Press. 1-5. Escoe A. K. (2006). Pigging and Pipelines Assessment guide. Oxford: Gulf Professional Publishing Hellevik, S.G. and Langen, I. (2000). In-Service Inspection Planning of Flow lines Subjected to CO2 Corrosion. Seattle, USA: ISOPE 2000, Proceeding of the 10th International Offshore and Polar Engineering Conference. May 28-June 2. Vol IV. 372-379. Lewis, E.E. (1996). Introduction to Reliability Engineering, 2nd Edition. New York: John Wiley & Sons, Inc. Melchers, R.E. (1999). Structural Reliability Analysis and Prediction, 2nd Edition. Chichester, UK: Ellis Herwood. 1-125. Noor, N.M. (2002). Reliability-Based Assessment of Offshore Pipeline Subjected to Internal Corrosion. University Teknologi Malaysia: Master Thesis. Pandey, M.D. (1997). Probabilistic Models for Condition Assessment of Oil and Gas Pipeline. NDT & Engineering International. 31(5). 349-358. Roberge, P.R. (1999). Handbook of Corrosion Engineering. New York: McGraw-Hill Companies. 1-5. Tiratsoo, J.H.N. (1992). Pipeline Pigging Technology. Houston, Gulf Publishing Company. Yahaya, N. and Wolfram, J. (1999). The Application of Peaks-Over-Threshold Approach on The Structural Reliability of Corroding Pipelines. Jurnal Teknologi. 30. 51-68. Yong B. (2001). Pipelines and Risers. Oxford: Gulf Professional Publishing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TA Engineering (General)
Civil engineering (General)
spellingShingle TA Engineering (General)
Civil engineering (General)
Ann, See Peng
Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
description Inspection data obtained from in-line inspection is useful to assess present integrity as well as to predict future integrity of pipeline by using statistical and probabilistic analyses and simulation process. However, numerical errors arise when all the inspection data are used in the analysis. Numerical error arises because failure probability due to a single extreme corrosion out of huge quantity of corrosion data has been greatly reduced. Thus, in this study, extreme values analysis using extreme value theory, peaks-over-threshold method or combination of both methods is adopted to analyze the inspection data. This aims to eliminate the “low-risk” data in the analysis in order for extreme values to be emphasized. Based on the result, high threshold value will lead to high failure probability. However, the optimum threshold value is limited by the number of remaining data. Meanwhile, extreme value distribution is also efficient in indicating an early failure probability. Instead, combination of both methods results an overestimated failure probability.
format Thesis
qualification_level Master's degree
author Ann, See Peng
author_facet Ann, See Peng
author_sort Ann, See Peng
title Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
title_short Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
title_full Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
title_fullStr Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
title_full_unstemmed Extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
title_sort extreme growth behaviour of corrosion pit in hydrocarbon pipeline (case study of ø242.1mm pipeline)
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2008
url http://eprints.utm.my/id/eprint/11446/1/AnnSeePengMFKA2008.pdf
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