Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
Corrosion is an important degradation mechanism that can affect the reliability and integrity of the pipeline. Offshore pipelines are usually inspected using MFL Intelligent Pigging method; this is how internal pipeline corrosion can be definitively measured. However, a huge amount of thickness p...
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Universiti Teknologi Petronas
2010
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my-utp-utpedia.14782017-01-25T09:43:53Z http://utpedia.utp.edu.my/1478/ Corrosion Prediction Model Of Corroded Pipeline Using Gumbel Yap, Pun Chee TJ Mechanical engineering and machinery Corrosion is an important degradation mechanism that can affect the reliability and integrity of the pipeline. Offshore pipelines are usually inspected using MFL Intelligent Pigging method; this is how internal pipeline corrosion can be definitively measured. However, a huge amount of thickness profile data was not used optimally to predict the corrosion rate. A reliable corrosion rate model is paramount to determine the re-inspection time interval and corrosion mitigation for pipelines. The objective of this final year project is to predict and analyze the internal pipeline corrosion for the chosen case study and develop a corrosion model. The methodology used in this project includes data gathering, data review, classification into defect type, data analysis, corrosion modelling, validation and discussion. The IP data was modelled with Gumbel distribution and result show that the data fits the curve and predicted the time to failure was for another 60 years. The result from Gumbel was compared to the deterministic approach of average time to failure of 149 years. The percent error was 40%. The project met the objective and can be further developed. Universiti Teknologi Petronas 2010 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/1478/1/Final_Dissertation2-2.pdf Yap, Pun Chee (2010) Corrosion Prediction Model Of Corroded Pipeline Using Gumbel. Universiti Teknologi Petronas. (Unpublished) |
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TJ Mechanical engineering and machinery Yap, Pun Chee Corrosion Prediction Model Of Corroded Pipeline Using Gumbel |
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Corrosion is an important degradation mechanism that can affect the reliability and integrity of
the pipeline. Offshore pipelines are usually inspected using MFL Intelligent Pigging method; this
is how internal pipeline corrosion can be definitively measured. However, a huge amount of
thickness profile data was not used optimally to predict the corrosion rate. A reliable corrosion
rate model is paramount to determine the re-inspection time interval and corrosion mitigation for
pipelines. The objective of this final year project is to predict and analyze the internal pipeline
corrosion for the chosen case study and develop a corrosion model. The methodology used in
this project includes data gathering, data review, classification into defect type, data analysis,
corrosion modelling, validation and discussion. The IP data was modelled with Gumbel
distribution and result show that the data fits the curve and predicted the time to failure was for
another 60 years. The result from Gumbel was compared to the deterministic approach of
average time to failure of 149 years. The percent error was 40%. The project met the objective
and can be further developed. |
format |
Final Year Project |
author |
Yap, Pun Chee |
author_facet |
Yap, Pun Chee |
author_sort |
Yap, Pun Chee |
title |
Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
|
title_short |
Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
|
title_full |
Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
|
title_fullStr |
Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
|
title_full_unstemmed |
Corrosion Prediction Model Of Corroded Pipeline Using Gumbel
|
title_sort |
corrosion prediction model of corroded pipeline using gumbel |
publisher |
Universiti Teknologi Petronas |
publishDate |
2010 |
url |
http://utpedia.utp.edu.my/1478/1/Final_Dissertation2-2.pdf http://utpedia.utp.edu.my/1478/ |
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13.211869 |