Model for microbiologically influenced corrosion potential assessment for the oil and gas industry

摘要: ABSTRACTCorrosion is one of the major causes failure in onshore and offshore oil gas operations. Microbiologically influenced corrosion (MIC) inherently more complex to predict, detect measure because, for instance, presence biofilm and/or bacterial products not sufficient indicate active microbiological corrosion. The challenge current MIC models correlate factors that influence (i.e. chemical, physical, biological molecular variables) with potential having MIC. Previous work has proposed as a simple product multiple factors, without fully considering synergy or interference among factors. present proposes network-based approach analyse predict interactions total 60 influencing 20 screening parameters. model ability capture interdependences synergic used to...