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Corrosion Prediction Model Of Corroded Pipeline Using Gumbel

Yap, Pun Chee (2010) Corrosion Prediction Model Of Corroded Pipeline Using Gumbel. Universiti Teknologi Petronas. (Unpublished)

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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.

Item Type: Final Year Project
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Users 5 not found.
Date Deposited: 11 Jan 2012 12:23
Last Modified: 25 Jan 2017 09:43
URI: http://utpedia.utp.edu.my/id/eprint/1478

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