期刊
CORROSION SCIENCE
卷 146, 期 -, 页码 99-111出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.corsci.2018.10.004
关键词
MIC; Biofilms; Mechanistic model; Sessile bacteria; Electrochemistry
资金
- Genome Canada
- Government of Alberta
- Alberta Innovates
- Newfoundland and Labrador's Department of Tourism, Culture, Industry and Innovation (TCII)
- Mitacs
At present, most Microbiologically Influenced Corrosion (MIC) models used in the petroleum industry are risk based, and predict the likelihood of MIC. It is imperative that the industry adopts mechanistic models to accurately quantify MIC in pipes/facilities. This paper summarizes the findings of a literature review of mechanistic MIC models available in the public domain. The results indicated that most of the models reviewed consider Sulphate Reducing Bacteria (SRB) as the main players in MIC, and very few models consider biofllm formation and transport phenomena. Furthermore, no models were found to accurately correlate sessile and planktonic bacteria.
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