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Optimization of the Coating Anomaly Detection and Prioritization Methodology Using Voltage Gradient Surveys

Picture for 11132 Optimization of the Coating Anomaly Detection and Prioritization Methodology
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Product Number: 51300-11132-SG
ISBN: 2011 11132 CP
Author: Chijioke Ukiwe and Shamus McDonnell
Publication Date: 2011
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The assessment of the external coating condition of underground pipelines relies mainly on the use of indirect inspection techniques such as alternating current voltage gradient (ACVG) and direct current voltage gradient (DCVG). Although these techniques have been in practical uses for decades now, their efficient application for the optimal detection and prioritization of coating anomalies depend largely on factors which have thus far been ignored. The resultant consequences have been severe, including wasted financial resources due to unnecessary pipe bell-hole excavation, and the possibility of future corrosion damages to the exposed pipe sections. In this paper, we address these important factors, and incorporate them into a general model for the optimal detection and prioritization of the coating anomalies using ACVG and DCVG techniques.

Key words: AC voltage gradient, DC voltage gradient, voltage gradient, coating anomaly, coating defect, probability of detection, probability of false indication
The assessment of the external coating condition of underground pipelines relies mainly on the use of indirect inspection techniques such as alternating current voltage gradient (ACVG) and direct current voltage gradient (DCVG). Although these techniques have been in practical uses for decades now, their efficient application for the optimal detection and prioritization of coating anomalies depend largely on factors which have thus far been ignored. The resultant consequences have been severe, including wasted financial resources due to unnecessary pipe bell-hole excavation, and the possibility of future corrosion damages to the exposed pipe sections. In this paper, we address these important factors, and incorporate them into a general model for the optimal detection and prioritization of the coating anomalies using ACVG and DCVG techniques.

Key words: AC voltage gradient, DC voltage gradient, voltage gradient, coating anomaly, coating defect, probability of detection, probability of false indication
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