Failure Analysis of Microbiologically Influenced Corrosion 2021
DOI: 10.1201/9780429355479-7
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Iron to Gas: The Mechanisms behind Methanogen-Induced Microbiologically Influenced Corrosion (Mi-MIC) and Their Importance for the Industry and Infrastructure

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“…Beyond SRP and APP, other populations known to play important roles in metal corrosion in the field include Sulfur-Oxidizing Prokaryotes (SOP), Iron-Reducing Prokaryotes (IRP), Iron-Oxidizing Prokaryotes (IOP), Non-SRP Sulfide-Producing Prokaryotes (SPP) and Methanogenic Archaea (MA), among others (Figure 1) (Liu et al, 2019;Kleinbub et al, 2021;Zaidi et al, 2021). In the praxis, monitoring many microbial groups is unfeasible and therefore it is important to establish a handful of microbes that can be routinely monitored, in a sense, acting as proxy for the overall microbial threat.…”
Section: Mic Biodiversity As Source For Biasesmentioning
confidence: 99%
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“…Beyond SRP and APP, other populations known to play important roles in metal corrosion in the field include Sulfur-Oxidizing Prokaryotes (SOP), Iron-Reducing Prokaryotes (IRP), Iron-Oxidizing Prokaryotes (IOP), Non-SRP Sulfide-Producing Prokaryotes (SPP) and Methanogenic Archaea (MA), among others (Figure 1) (Liu et al, 2019;Kleinbub et al, 2021;Zaidi et al, 2021). In the praxis, monitoring many microbial groups is unfeasible and therefore it is important to establish a handful of microbes that can be routinely monitored, in a sense, acting as proxy for the overall microbial threat.…”
Section: Mic Biodiversity As Source For Biasesmentioning
confidence: 99%
“…It has been calculated that approximately 20% of the cost of all failures caused by corrosion are consequence of microbial activity (Maxwell et al, 2004;Fatah et al, 2013;Sachan and Singh, 2020;Lavanya, 2021). Still, analysts argue that many MICrelated failures remain unreported due to limitations in field diagnostics and thus the cost of their environmental impact might also be underestimated (Brauer et al, 2015;Guo et al, 2018;Inaba et al, 2019;Jia et al, 2019;Liu et al, 2019;Little et al, 2020;Shi et al, 2020;Stamps et al, 2020;Chatterjee et al, 2021;Kleinbub et al, 2021;Lou et al, 2021;Omar et al, 2021;Zaidi et al, 2021).…”
Section: Introductionmentioning
confidence: 99%