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Improving Integrity Management Decision Making Using Automated Calibration Of Model Predictions Using CP Survey Data

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In this paper, a case study is presented for a marine structure for which modelling has been used to predict the protection potentials over the life of the structure.

The aim of any digital transformation of integrity management and in particular corrosion control is the improvement of communication efficiency, planning efficiency and maintenance efficiency. Key issues are predictive maintenance and clarity of the information available so engineers can make informed decisions. Therefore it is not just a question of collecting more information but also the way that information is used and shared with the decision-makers.

Product Number: 51322-17557-SG
Author: Robert Adey, Madhu Sudan Sapkota, John Baynham, Edward Apeh, Cristina Peratta
Publication Date: 2022
Industries: Cathodic Protection , Corrosion Monitoring and Control , Coatings
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The actual protection provided to structures by Cathodic-Protection (CP) systems will often be different from that predicted by design calculations. This is for various reasons, including for example coating degradation at a rate different from the accepted standards and practices, assumed environmental conditions not being representative, etc. In addition, structural or CP system changes and retrofits may have been made. It is important, therefore, that models of the structure, used to predict the current and future protection provided by the CP system, are recalibrated as survey data become available during the life of the structure.

Because the models used to simulate CP systems are non-linear and time-dependent, manual calibration processes can be difficult and time-consuming. Additionally, with the development of new sensor technologies providing the opportunity for more real-time CP data, there is a need for an automated approach to calibration.

 

The actual protection provided to structures by Cathodic-Protection (CP) systems will often be different from that predicted by design calculations. This is for various reasons, including for example coating degradation at a rate different from the accepted standards and practices, assumed environmental conditions not being representative, etc. In addition, structural or CP system changes and retrofits may have been made. It is important, therefore, that models of the structure, used to predict the current and future protection provided by the CP system, are recalibrated as survey data become available during the life of the structure.

Because the models used to simulate CP systems are non-linear and time-dependent, manual calibration processes can be difficult and time-consuming. Additionally, with the development of new sensor technologies providing the opportunity for more real-time CP data, there is a need for an automated approach to calibration.

 

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