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51312-01166-Field Methods for Estimating Pipeline Stress Corrosion Crack Growth Rate at High pH

Picture for Field Methods for Estimating Pipeline Stress Corrosion Crack Growth Rate at High pH
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Product Number: 51312-01166-SG
ISBN: 01166 2012 CP
Author: Fengmei Song
Publication Date: 2012
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$20.00
$20.00
Crack growth rate (CGR) is a critical parameter in pipeline integrity management for estimating inspection or reassessment intervals. The current industrial practice of estimating CGRs uses a constant rate or a rate obtained through linear extrapolation. Without including the underlying cracking mechanisms to account for the non-linear physical growth of a crack such an estimate can be fraught with significant uncertainty. Mechanistic CGR models for pipeline high pH stress corrosion cracking (SCC) are often sophisticated contain numerous variables of which many may not be known or cannot be measured in the field. Thus direct field use of these models is challenging. This paper reports a method developed for making field use of the mechanistic models by reducing and grouping the variables. Such a simplified model still retains the mechanistic nature of the original models and if calibrated with field data will allow for predicting the future crack growth. A four-step procedure was proposed for field use of the models as an alternative to existing methods. A proper CGR should be chosen by evaluating all the CGRs obtained from different methods and by using best expert judgment.
Crack growth rate (CGR) is a critical parameter in pipeline integrity management for estimating inspection or reassessment intervals. The current industrial practice of estimating CGRs uses a constant rate or a rate obtained through linear extrapolation. Without including the underlying cracking mechanisms to account for the non-linear physical growth of a crack such an estimate can be fraught with significant uncertainty. Mechanistic CGR models for pipeline high pH stress corrosion cracking (SCC) are often sophisticated contain numerous variables of which many may not be known or cannot be measured in the field. Thus direct field use of these models is challenging. This paper reports a method developed for making field use of the mechanistic models by reducing and grouping the variables. Such a simplified model still retains the mechanistic nature of the original models and if calibrated with field data will allow for predicting the future crack growth. A four-step procedure was proposed for field use of the models as an alternative to existing methods. A proper CGR should be chosen by evaluating all the CGRs obtained from different methods and by using best expert judgment.
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