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Challenges in Developing, Deploying, and Transforming Online Corrosion Management Dashboards

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This paper discusses the journey Saudi Aramco took during the last decade to introduce the concept of an integrated CM and the associated digital challenges.  The focus will be on the online Corrosion Management Dashboard (CMDB) development, deployment, maintenance, and finally transformation. The CMDB scope was recently shifted from monitoring the compliance of corrosion-related parameters to predict CM performance by using the combined effect of different parameters.  However, with a void in CM digitalization mandate, effort may not be focused or they do not eventually achieve their full potential. 

Product Number: 51320-14757-SG
Author: Sami M. Al-Ghamdi, Hendrik J. Debruyn, Ricardo S. Costa, Lay Seong Teh
Publication Date: 2020
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Aim Corrosion Management: Perfect Key Performance Indicators

Product Number: 51317--8823-SG
ISBN: 8823 2017 CP
Author: Sankara Papavinasam
Publication Date: 2017
$20.00

This paper illustrates fifty (50) Key Perfomance Indicators (KPIs) that were developed based on industry surveys and failure analysis; application of these 50 KPIs using 10 case studies and explains cost effectiveness of various KPIs.
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Corrosion Management in Hydrocracking and Hydroprocessing Units

Product Number: MPWT19-14442
Author: Hendrik J. Debruyn
Publication Date: 2019
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Hydrocracking and other refinery hydroprocessing units have a common goal to convert organic sulfur compounds to hydrogen sulfide (H2S) that can be removed, thereby producing low-sulfur refinery products. Corrosion and equipment degradation risks range from high-temperature hydrogen attacks (HTHA) to ammonium bisulfide and ammonium chloride corrosion in the downstream heat recovery and fluid separation equipment.
This paper provides an overview of corrosion management principles that can be applied to reduce operating risks in new and existing units, focusing equipment susceptible to ammonium bisulfide (NH4HS) and ammonium chloride (NH4Cl) corrosion. Best practices for materials selection, as well as designing for corrosion management through adequate provision of corrosion management related instrumentation and sampling points are covered.
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Corrosion Data Management Using 3D Visualisation and a Digital Twin

Product Number: 51320-14535-SG
Author: Robert Adey, Cristina Peratta, John Baynham
Publication Date: 2020
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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
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