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51312-01218-JUDICIOUS INTERPRETATION OF IN-LINE INSPECTION (ILI) INTELLIGENT PIGGING DATA

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Product Number: 51312-01218-SG
ISBN: 01218 2012 CP
Author: Abdul Razaaq Al-Shamari
Publication Date: 2012
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Judicious Interpretation of In-line Inspection (ILI) Intelligent Pigging Data Abdul Razzaq Al-Shamari Inspection & Corrosion Team Kuwait Oil Company Ahmadi Kuwait. Saleh Al-Sulaiman Inspection & Corrosion Team Kuwait Oil Company Ahmadi Kuwait. Shabbir Safri Inspection & Corrosion TeamKuwait Oil Company Ahmadi Kuwait Surya Prakash Inspection & Corrosion TeamKuwait Oil Company Ahmadi Kuwait Abstract In-line inspection (ILI) by Magnetic Flux (MFL) Intelligent Pigging of pipelines is perhaps the most convenient method to assess the internal condition of an operating pipeline. Even though ILI pigging data provides a sound assessment of the internal corrosion status of the pipeline it may miss some indications which may lead to failures even after conducting the ILI assessment. Hence judicious interpretation of the ILI data is needed. This paper highlights the findings of an investigation of a ruptured high-pressure gas line which failed in a region where the ILI data had not shown indications of any significant corrosion damage or reduction in thickness. The possible reasons for the discrepancy in the ILI data is discussed. Key words: Intelligent Pigging High pressure Gas Internal condition of pipeline.
Judicious Interpretation of In-line Inspection (ILI) Intelligent Pigging Data Abdul Razzaq Al-Shamari Inspection & Corrosion Team Kuwait Oil Company Ahmadi Kuwait. Saleh Al-Sulaiman Inspection & Corrosion Team Kuwait Oil Company Ahmadi Kuwait. Shabbir Safri Inspection & Corrosion TeamKuwait Oil Company Ahmadi Kuwait Surya Prakash Inspection & Corrosion TeamKuwait Oil Company Ahmadi Kuwait Abstract In-line inspection (ILI) by Magnetic Flux (MFL) Intelligent Pigging of pipelines is perhaps the most convenient method to assess the internal condition of an operating pipeline. Even though ILI pigging data provides a sound assessment of the internal corrosion status of the pipeline it may miss some indications which may lead to failures even after conducting the ILI assessment. Hence judicious interpretation of the ILI data is needed. This paper highlights the findings of an investigation of a ruptured high-pressure gas line which failed in a region where the ILI data had not shown indications of any significant corrosion damage or reduction in thickness. The possible reasons for the discrepancy in the ILI data is discussed. Key words: Intelligent Pigging High pressure Gas Internal condition of pipeline.
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