Previously we developed propidium monoazide (PMA) qPCR methods in conjunction with a beta corrosion rate model to identify and qualify the threat of microbiologically influenced corrosion (MIC) to oil and gas infrastructure. To further understand how measurements of living vs. dead microorganisms in pipeline or produced water samples would influence corrosion rates, a deeper understanding of corrosion rates induced by single or multiple species biofilms must be elucidated. We are addressing this question by re-creating and adapting a high throughput corrosion measurement device to measure the corrosion rates of multiple combinations of MIC associated groups. As this report details, species type and concentration directly impact MIC rates. This corrosion rate and bacterial concentration information will further inform our beta corrosion risk model for semi-quantitatively identifying a risk index for corrosion based on the amount, type, and proportion of living MIC organisms in specific infrastructure conditions.

Subject
Acids, Test methods, Corrosion rate, Wiring, Corrosion loops, Experimental data, Rectifiers, Corrosion modeling, Steel, Equipment, Corrosion resistance, Corrosion monitoring, Microbiologically influenced corrosion
Keywords:
Microbiologically Influenced Corrosion (MIC), biocorrosion, corrosion monitoring, molecular methods, sulfate-reducing bacteria
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2018
Association for Materials Protection and Performance (AMPP)
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