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This paper seeks to present the uncertain events that occur during the assessment and management of corrosion data survey by using Bayes' Model. In decision making, uncertainty about the outcomes of various situations is an important element of the analysis of the alternative strategies from which the choice must be made.
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There is a gap between the Integrity management systems used by companies to manage their assets and the needs of the CP engineer. Integrity management systems do not fully meet the needs of the engineer responsible for corrosion as they do not provide access and visualizations of all the data the engineer needs to make fast and informed decisions. There is also often no easy way to see the trends in the data, or easily access the relevant video and photographic data also recorded during the survey.
Data from surveys is normally contained in reports and EXCEL spreadsheets often with different measurement locations and inconsistent naming of the locations between reports. In this paper a system is introduced which enables engineers to manage and visualise in 3D CP survey data and provide access to all the relevant information through a 3D visual interface to any member of the teams. The software gives the engineer the ability to visualize in 3D the historical and predicted CP protection on the structure and the status of the anodes in the CP system. It also provides information on long term trends in the survey data.
By integrating the corrosion data with a simulation model a “digital twin” of the structure can be created to make predictions of the present and future protection of all parts of the structure. For example the engineer can easily use the software to systematically monitor the differences between the model predictions and survey data to identify anomalies and give early identification of problems which will require action.
The paper will describe the system developed and present applications of both the 3D corrosion data visualisation and the simulation based digital twin
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.