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Reactive to Proactive Transformation - A New Paradigm in Corrosion Management

Picture for Reactive to Proactive Transformation - A New Paradigm in Corrosion Management
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Maximizing asset uptime and reducing maintenance costs are essential in any process facility. Effective corrosion management is a key driver to achieving these goals. Corrosion management involves monitoring and controlling corrosion to maintain the integrity of equipment and improve availability and safety.

Product Number: 51323-19106-SG
Author: Faisal M. Al-Mutahhar, Ibrahim A. Albrahim, Abdullah M. Alratoee, Rakan A. Al-Shebil, Ayman A. Alabdullatif, Ricardo S. Costa, Yousef A. Aldossary, Muntathir M. Al-Jumaah
Publication Date: 2023
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Corrosion management continues to be a worldwide challenge, stretching the capabilities of institutions across various fields around the globe. One such industry is the Oil & Gas which accounts for approximately 60% of the worldwide cost of corrosion that is estimated to be $2.5 trillion per year. The main challenge facing the industry is the reactive nature of corrosion management and the consequences of the lack of a holistic management approach. Although some tools claim to assist in managing corrosion, their effectiveness and usefulness are always questioned by the failures that occur in their presence. With this in mind, Saudi Aramco has developed an in-house web-based technology known as the Corrosion Management Solution (CMS), which is an integrated solution for monitoring corrosion parameters through real-time data. CMS intends to shift corrosion management from a reactive to a proactive process. This in return has served the company in its corporate strategy of being on the global forefront of the Fourth Industrial Revolution (4.0IR) applications, while also enhancing the asset integrity and reliability across its operating facilities. This paper details the approach the team took to develop the CMS driving forward a new paradigm in corrosion management and establishing the platform for an intelligent machine learning-based system.

Corrosion management continues to be a worldwide challenge, stretching the capabilities of institutions across various fields around the globe. One such industry is the Oil & Gas which accounts for approximately 60% of the worldwide cost of corrosion that is estimated to be $2.5 trillion per year. The main challenge facing the industry is the reactive nature of corrosion management and the consequences of the lack of a holistic management approach. Although some tools claim to assist in managing corrosion, their effectiveness and usefulness are always questioned by the failures that occur in their presence. With this in mind, Saudi Aramco has developed an in-house web-based technology known as the Corrosion Management Solution (CMS), which is an integrated solution for monitoring corrosion parameters through real-time data. CMS intends to shift corrosion management from a reactive to a proactive process. This in return has served the company in its corporate strategy of being on the global forefront of the Fourth Industrial Revolution (4.0IR) applications, while also enhancing the asset integrity and reliability across its operating facilities. This paper details the approach the team took to develop the CMS driving forward a new paradigm in corrosion management and establishing the platform for an intelligent machine learning-based system.

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Oil and Gas operators require a robust Corrosion Management Strategy (CMS) to maintain asset integrity. Corrosion threats and barrier management are essential components of CMS. Corrosion threats are identified during the design, construction, operation and decommissioning phases, and mitigations are implemented to achieve a complete operating design life cycle. To monitor the effectiveness of mitigations, it is critical to establish corrosion barrier management (CBM).
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