Danish University Colleges
Risk Based Inspection Data Integration for Assessing Microbiologically Influenced Corrosion in the Oil and Gas Industry
Abillo, Andre; Skovhus, Torben Lund; Wolodko, John; Eckert, Rickard
Publication date:
2020
Document Version
Publisher's PDF, also known as Version of record Link to publication
Citation for pulished version (APA):
Abillo, A., Skovhus, T. L., Wolodko, J., & Eckert, R. (2020). Risk Based Inspection Data Integration for
Assessing Microbiologically Influenced Corrosion in the Oil and Gas Industry. Paper presented at European MIC Webinar Series 2020, Horsens, Denmark.
General rights
Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal
Download policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
Download date: 18. Sep. 2022
Tuesday May 12 2020, from 15-16, European MIC Network proudly presents
Risk Based Inspection Data Integration for Assessing Microbiologically Influenced Corrosion in the Oil and Gas Industry
Andre de A. Abilio¹, Richard B. Eckert², Torben Lund Skovhus³, and John Wolodko¹
¹University of Alberta, ²DNV GL, ³VIA University College
Risk based inspection (RBI) methods aim to determine the susceptibility of the degradation mechanisms towards a component by systematically evaluating their key influencing parameters. The objective of this study is, by coupling RBI methodology to microbiologically influenced corrosion (MIC), to showcase a new model which predicts MIC susceptibility by integrating its most influential parameters into a scoring framework for oil and gas piping circuits and facilities. The proposed means to that is to integrate the chemical, physical, operational and metallurgical aspects of the process to the microbiological pillars of activity, diversity and abundance that newer molecular microbiological methods (MMM) tools output.
Andre de A. Abilio:
Materials and Metallurgical Engineer and Mechanical Engineering Technologist by training
Worked for the Halliburton cementing team in Brazil – his home country
Worked at the University of New South Wales in Sydney, Australia, with fracture mechanics and failure analysis of rock bolts used in underground mines
He is currently a Corrosion Researcher at the University of Alberta working for the geno-MIC project
In collaboration with DNV GL and VIA University College, Andre is developing a risk-based inspection model to address MIC susceptibility and prevent MIC related failures
Member of NACE
Developing an up-to-date failure analysis methodology to diagnose MIC in the oil and gas industry in collaboration to the AER, the Alberta Energy Regulator
