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07120 Calculation of a Corrosion Rate Using Monte Carlo Simulation

Picture for 07120 Calculation of a Corrosion Rate Using Monte Carlo Simulation
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Product Number: 51300-07120-SG
ISBN: 07120 2007 CP
Author: Kolin Kolovich and John F. Kiefner
Publication Date: 2007
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This document describes a means of calculating a credible corrosion rate for establishing integrity reassessment intervals for a pipeline that has sustained corrosion-caused metal loss. The method uses corrosion pit depths determined at a point in time by either direct measurement or inferred indirectly from inspection data or a combination of both. The history of the pipeline can be used to determine logical points in time for the corrosion to have initiated. Probability density functions are used to represent the time of corrosion initiation and pit depth data, and through a Monte Carlo simulation the 80 percent upper confidence bound corrosion rate is determined. Keywords: corrosion rate, Monte Carlo, reassessment interval, pipeline integrity
This document describes a means of calculating a credible corrosion rate for establishing integrity reassessment intervals for a pipeline that has sustained corrosion-caused metal loss. The method uses corrosion pit depths determined at a point in time by either direct measurement or inferred indirectly from inspection data or a combination of both. The history of the pipeline can be used to determine logical points in time for the corrosion to have initiated. Probability density functions are used to represent the time of corrosion initiation and pit depth data, and through a Monte Carlo simulation the 80 percent upper confidence bound corrosion rate is determined. Keywords: corrosion rate, Monte Carlo, reassessment interval, pipeline integrity
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08270 Monte Carlo Simulation of Localized Corrosion

Product Number: 51300-08270-SG
ISBN: 08270 2008 CP
Author: George Engelhardt and Digby Macdonald
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51318-11412-Risk Based Inspection Utilizing Monte Carlo Simulation

Product Number: 51318-11412-SG
Author: Chris Hurd / Joseph Nunez / Frank Sapienza
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This paper expands on this work by first reviewing the basis for utilizing Monte Carlo simulation to predict future corrosion in fixed equipment.
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51317--9504-Validation of Corrosion Growth Rate Models

Product Number: 51317--9504-SG
ISBN: 9504 2017 CP
Author: Yan Ping Li
Publication Date: 2017
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Validation results of feature level and joint level CGR based on feature matching and signal matching. These results enable pipeline operators to establish defect repair schedules and re-inspection intervals with increased confidence.
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