| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Skovhus, Torben Lund
VIA University College
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (47/47 displayed)
- 2023The effectiveness of cathodic protection (CP) on microbiologically influenced corrosion (MIC) control
- 2023Development of a model system to investigate the effects of surface roughness and media on marine biofilm formation and microbiologically influenced corrosion
- 2023Microbiologically Influenced Corrosion (MIC) in the Energy Sector: Interesting Learnings from the North Sea
- 2023Bibliometric Analysis on Microbiologically Influenced Corrosion in Oil and Gas Systems
- 2022EUROCORR: Effects of surface roughness on anaerobic marine biofilm formation and microbiologically-influenced corrosion of UNS G10180 carbon steel
- 2022The effects of surface roughness on anaerobic marine biofilm formation and microbiologically-influenced corrosion of UNS G10180 carbon steel
- 2022Learnings from Failure Investigations of Microbiologically Influenced Corrosion (MIC) in the North Sea Oil and Gas Production
- 2022RMF: Microbiologically-influenced corrosion (MIC): Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides
- 2022European microbiologically influenced corrosion network (EURO-MIC) : new paths for science, sustainability and standards.
- 2022The Urgent Need of Bridging Our Extensive Knowledge to the Renewable Energy Sector: Conducting Failure Investigation of Microbiologically Influenced Corrosion (MIC) in the North Sea
- 2022Microbial Degradation of Complex Organic Compounds in a Danish Drinking Water Pipeline Distribution System
- 2022MSC: Effects of surface roughness on anaerobic marine biofilm formation and microbiologically influenced corrosion of UNS G10180 carbon steel
- 2022Optimizing Corrosion Mitigation Costs Using Failure Analysis
- 2022Failure Investigation of Microbiologically Influenced Corrosion (MIC) in the North Sea Oil and Gas Production
- 2022State-of-the-art Failure Analysis of Microbiologically Influenced Corrosion (MIC) in the Energy Sector – Interesting Learnings from the North Sea
- 2022Failure Analysis of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas industry – Learnings from the North Sea
- 2022NCC18: Failure Investigation of Microbiologically Influenced Corrosion (MIC) in the North Sea Oil and Gas Production
- 2022State-of-the-art Failure Analysis of Microbiologically Influenced Corrosion (MIC) in the Energy industry – Some Learnings from the North Sea
- 2022Importance of the Multiple Lines of Evidence (MLOE) approach in Diagnosing Microbiologically Influenced Corrosion (MIC)
- 2022Failure Analysis and Mitigation of Microbiologically Influenced Corrosion (MIC) in the Energy industry – Interesting Learnings from the North Sea
- 2021The Clean Biocide Project Halophilic plant extracts for prevention of microbiologically influenced corrosion (MIC)
- 2021Microbiologically-influenced corrosion (MIC): Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides
- 2021Review of Current Gaps in Microbiologically Influenced Corrosion (MIC) Failure Investigations in Alberta’s Oil and Gas Sector
- 2021The CLEAN BIOCIDE project: Halophilic plant extracts as natural corrosion inhibitors and biocides for oil field application
- 2021The differences in the corrosion product compositions of Methanogen-induced microbiologically influenced corrosion (Mi-MIC) between static and dynamic growth conditionscitations
- 2021Using Failure Analysis to Optimize Corrosion Mitigation Costs
- 2021Time to Agree: The Efforts to Standardize Molecular Microbiological Methods (MMM) For Detection of Microorganisms in Natural and Engineered Systems
- 2021Failure Investigation of Microbiologically Influenced Corrosion in Alberta’s Oil and Gas Upstream Pipeline Operations – Trends and Gaps
- 2021Laboratory investigation of biocide treated waters to inhibit biofilm growth and reduce the potential for MIC
- 2021Environmental conditions impact the corrosion layer composition of methanogen induced microbiologically influenced corrosion (MI-MIC)
- 2021Introducing Failure Analysis of Microbiologically Influenced Corrosion – From biofilms to asset integrity management
- 2021Clean Biocide Project: Natural Corrosion Inhibitors Halophilic Plant Extracts for Biofilm Mitigation
- 2021From biofilms to asset integrity management: A transdisciplinary perspective of Microbiologically Influenced Corrosion (MIC)
- 2021Microbiological Tests Used to Diagnose Microbiologically Influenced Corrosion (MIC) in Failure Investigations
- 2021Failure Analysis of Microbiologically Influenced Corrosion
- 2020Integration of State-of-the-Art Methods for Assessing Possible Failures due to Microbiologically Influenced Corrosion
- 2020Current state-of-the-art industrial research on Microbiologically Influenced Corrosion (MIC)
- 2020Corrosion product compositions of Methanogen-induced microbiologically influenced corrosion (Mi-MIC) are impact by environmental conditions
- 2020Bridging the gap between inspection strategies and applied MIC research in the Oil & Gas industry
- 2019Pipeline Failure Investigation: Is it MIC?
- 2018Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry - Past, Present and Future
- 2017Investigation of Amourphous Deposits and Potential Corrosion Mechanisms in Offshore Water Injection Systems
- 2017Microbiologically Influenced Corrosion in the Upstream Oil and Gas Industry
- 2017Application of natural antimicrobial compounds for reservoir souring and MIC prevention in offshore oil and gas production systems
- 2017Corrosion resistance of steel fibre reinforced concrete - A literature reviewcitations
- 2016Corrosion resistance of steel fibre reinforced concrete – a literature review
- 2015Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry
Places of action
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document
EUROCORR: Effects of surface roughness on anaerobic marine biofilm formation and microbiologically-influenced corrosion of UNS G10180 carbon steel
Abstract
The challenge in understanding and predicting microbiologically influenced corrosion (MIC) is the lack of robust and reproducible model biofilm systems that reflect realworld operating conditions. Furthermore, there are no internationally recognised standards or test methods with which to evaluate control strategies effective against MIC. Current industrial standards provide insightful guidance when it comes to the detection, testing and evaluation of MIC; however, less than 25% of risk-based inspections analyse sessile biofilm samples when investigating corrosion. This work aims to develop and validate a model biofilm system to investigate the role of biofilm communities within MIC. The effect of surface roughness on MIC and biofilm formation between As Received (Ra Control = 2.2360 ± 0.3450 μm & Ra Test 2.4971 ± 0.6720 μm), and 25 μm polished (Ra Control = 1.3938 ± 0.0897 μm & Ra Test 1.6781 ± 0.1133 μm) carbon steel coupons (UNS G10180) will be investigated. The objective is to run two CDC biofilm reactors, one control and one test reactor inoculated with an anaerobic marine sediment sample. Both reactors will be run with an electrochemical<br/>cell setup and H2S microsensor, whilst maintaining anaerobic conditions.<br/>Corrosion rates will be monitored daily via linear polarization resistance and<br/>electrochemical impedance spectroscopy measurements, with potentiodynamic<br/>polarization performed at the end. Similarly, changes in H2S concentration will be<br/>monitored daily (will reflect the activity of sulphate-reducing prokaryotes). Once the experiment is complete, biofilm viability through LIVE/DEAD imaging and monitoring of ATP activity will be assessed alongside any changes in prevalence and activity of different species within the biofilm using molecular microbial methods (qPCR and 16S rRNA amplicon sequencing). Gravimetric analysis alongside surface profilometry will be performed to assess the extent of the corrosion degradation. In combination these methods will provide a holistic understanding, providing novel insights into the effect of surface roughness on MIC.<br/>We hypothesise that carbon steel coupons with greater surface roughness will<br/>facilitate biofilm attachment and growth, and thus exhibit higher corrosion rates.