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51316-7366-Detailed Metal Loss Assessment of In-line Inspection (UT) Raw Data for Offshore Pipelines

Product Number: 51316-7366-SG
ISBN: 7366 2016 CP
Author: DIAN ADISTY
Publication Date: 2016
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Corrosion generally has an irregular form which influences the quality of an ultrasonic (UT) inspection; both due to the irregular form itself and because it affects the ability to clean the pipeline prior to inspection. The common practice in in-line inspection (ILI) is to produce a feature list reporting the deepest point of a metal loss defect and the associated defect length up to a joint length for channeling corrosion. This will normally give very conservative estimations of pressure resistance. If corrosion rates are estimated by feature lists from consecutive inspection it may give misleading rates due to bias in measurements (e.g. due to tool calibration or different quality of cleaning of the pipeline prior to inspections) different reporting criteria processing and storage of inspection data.A procedure to establish the remaining wall thickness profile by filtering out echo loss and generate so called river bottom profiles (RBPs) based on detailed wall thickness and stand-off data from UT inspections is included in the updated DNV-RP-F101:2015. This paper outlines the procedure to establish RBPs along a pipeline how to calculate the total probability of failure (PoF) and estimate corrosion rate between consecutive inspections. The paper also reflects on experiences from conducting the methodology for several different pipelines and how the results could benefit the operators.Key words: In-line inspection ILI UT inspection pipeline corrosion corroded pipeline corrosion management metal loss assessment.
Corrosion generally has an irregular form which influences the quality of an ultrasonic (UT) inspection; both due to the irregular form itself and because it affects the ability to clean the pipeline prior to inspection. The common practice in in-line inspection (ILI) is to produce a feature list reporting the deepest point of a metal loss defect and the associated defect length up to a joint length for channeling corrosion. This will normally give very conservative estimations of pressure resistance. If corrosion rates are estimated by feature lists from consecutive inspection it may give misleading rates due to bias in measurements (e.g. due to tool calibration or different quality of cleaning of the pipeline prior to inspections) different reporting criteria processing and storage of inspection data.A procedure to establish the remaining wall thickness profile by filtering out echo loss and generate so called river bottom profiles (RBPs) based on detailed wall thickness and stand-off data from UT inspections is included in the updated DNV-RP-F101:2015. This paper outlines the procedure to establish RBPs along a pipeline how to calculate the total probability of failure (PoF) and estimate corrosion rate between consecutive inspections. The paper also reflects on experiences from conducting the methodology for several different pipelines and how the results could benefit the operators.Key words: In-line inspection ILI UT inspection pipeline corrosion corroded pipeline corrosion management metal loss assessment.
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