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51318-10889- Development and Testing of a Laboratory Based MIC Corrosion Rate Measurement Device

Picture for 51318-10889- Development and Testing of a Laboratory Based MIC Corrosion Rate Measurement Device
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High throughput corrosion measurement indicates that species type and concentration directly impact MIC rates. A corrosion model to identify a risk index for corrosion is based on amount, type, and proportion of living MIC organisms.

Product Number: 51318-10889-SG
Author: Sarah Eisenlord / Mike Mensinger Jr. / Scott Leleika / Ryan Feist
Publication Date: 2018
Industry: Science of Corrosion
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$20.00
$20.00

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.

Key words: Microbiologically Influenced Corrosion (MIC), biocorrosion, corrosion monitoring, molecular methods, sulfate-reducing bacteria

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.

Key words: Microbiologically Influenced Corrosion (MIC), biocorrosion, corrosion monitoring, molecular methods, sulfate-reducing bacteria

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Picture for Quantifying the Risk of MIC
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51316-7347-Quantifying the Risk of MIC

Product Number: 51316-7347-SG
ISBN: 7347 2016 CP
Author: sarah eisenlord
Publication Date: 2016
$20.00

We describe the advancement of an activity-based quantitative polymerase chain reaction (qPCR) assay which can distinguish live from dead corrosion influencing microorganisms in oil and gas pipeline environments. We discuss the limitations and possible future optimization methods for Propidium monazide-qPCR techniques in the industry.
Picture for The pitting corrosion behavior of carbon steel in presence of sulfate-reducing bacteria under H2S
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51318-10895-The pitting corrosion behavior of carbon steel in presence of sulfate-reducing bacteria under H2S

Product Number: 51318-10895-SG
Author: Ma Lei / Xie Junfeng / Xiong MaoXian / Li Yan / Zhao Mifeng / Wang Hua
Publication Date: 2018
$20.00

Corrosion behaviors on carbon steel - in presence of sulfate reducing bacteria (SRB) - were studied via weight loss methods and electrochemical tests including polarization curve and EIS measurements.
Picture for 51318-11398- Modeling of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry - Past, Present and Future
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51318-11398- Modeling of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry - Past, Present and Future

Product Number: 51318-11398-SG
Author: John Wolodko / Tesfaalem Haile / Faisal Khan / Christopher Taylor / Richard Eckert / Seyed Javad Hashemi / Andrea Marciales Ramirez / Torben Lund Skovhus
Publication Date: 2018
$20.00

The objective of this paper is to provide a review of various models and methods that have been developed and applied by both researchers and industry professionals to better understand and predict MIC.
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