Danish University Colleges
From biofilms to asset integrity management: A transdisciplinary perspective of Microbiologically Influenced Corrosion (MIC)
Skovhus, Torben Lund
Publication date:
2021
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Citation for pulished version (APA):
Skovhus, T. L. (2021). From biofilms to asset integrity management: A transdisciplinary perspective of Microbiologically Influenced Corrosion (MIC). Abstract from Chalmers & VIA University College.
https://www.chalmers.se/en/departments/ace/calendar/Pages/A-transdisciplinary-perspective-of- Microbiologically-Influenced-Corrosion-(MI.aspx
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Download date: 14. Sep. 2022
A transdisciplinary perspective of Microbiologically Influenced Corrosion (MIC):
From biofilms to asset integrity management
Torben Lund SKOVHUS1, Andrea KOERDT2
1 VIA University College, Denmark
2 BAM, Germany
Summary
This study gives a review of the history and current state-of-the-art in microbiologically influenced corrosion (MIC) research in engineering systems such as maritime, utility systems and the energy sector. The study highlights the importance of stronger collaboration between industry researchers and academia. It also identifies the various silos that exists among technical scientific disciplines and explains some of the existing barriers between them. Finally, the study highlights the importance of stronger emphasis on risk assessment models, industry standards and training of personnel, when it comes to the understanding, mitigation and management of MIC and biofouling.
Results and Discussion
MIC research in, for instance water, energy and maritime industries has seen a revolution over the past decade with the increased application of molecular microbiological methods (MMM) and new industry standards; however, MIC prediction, modelling, mitigation and the differentiation between MIC and abiotic corrosion are areas that have not been fully developed. Models can provide numerous benefits, e.g., guidance on MIC mitigation selection and prioritization, identification of data gaps, a scientific basis for risk-based inspections, and technical justification for asset design and life-extension [1].
This presentation (i) discusses trends in MIC prediction, modelling and sharing of data; mainly discussing MIC models from an end-user perspective (e.g. both Mechanistic and Risk Based Inspection MIC Models), and (ii) describes the results from a newly performed online gap analysis/survey among key stakeholders working with MIC in their daily life in both academia or industry.
In order to manage the threat of corrosion relative to asset integrity, operators commonly use models to support decision-making. These models use qualitative, quantitative or semi-quantitative measures to help predict the rate of degradation caused by MIC and other threats. A new model that links MIC in topsides oil processing systems with risk- based inspection (RBI) through the application of data obtained by molecular microbiological methods MMMs, and its implementation, is presented and discussed [2].
The survey results and application of the models will be discussed and evaluated in the context of MIC threat assessment in engineering systems.
Finally, the presentation will give the latest status of the activities in the European MIC Network (Euro-MIC) established in 2020.
References
[1] J Wolodko, R Eckert, T Haile, J Hashemi, F Khan, C Taylor and TL Skovhus (2018). Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry - Past, Present and Future. Corrosion 2018, NACE International.
[2] A Abilio, R Eckert, TL Skovhus and J Wolodko (2019). Integration of State-of-the-Art Methods for Assessing Possible Failures due to Microbiologically Influenced Corrosion. ASM Materials Week – IMAT 2020.
