TY - JOUR A1 - de Araujo Abilio, André A1 - Wolodko, John D. A1 - Eckert, Richard B. A1 - Skovhus, Torben L. T1 - Development of an expert system for assessing failures in oil and gas pipelines due to microbiologically influenced corrosion (MIC) N2 - This study highlights the modeling of an expert system for the classification of internal microbiologically influenced corrosion (MIC) failures related to pipelines in the upstream oil and gas industry. The model is based on artificial neural networks (ANNs) and involves the participation of 15 MIC experts. Each expert evaluated a number of model case studies ranging from MIC- to non-MIC-driven upstream pipeline failures. The model accounts for variations in microbiological testing methods, microbiological sample types, and degradation morphology, among other variables. It also accounts for missing datasets, which is commonly the case in actual failure assessments. The outcome is an expert system model whose outputs are classes (classification ANN) which comprises MIC potential and data confidence. The performances of two approaches are contrasted in this study. One classifies the output in 5 classes, a 5-output classification (5OC) model; the other in 3 classes, a 3-output classification (3OC) model. The 5OC model had an accuracy of 62.0% while the simpler 3OC model had a better accuracy of 74.8%. This modelling exercise has demonstrated that knowledge from experts can be captured in a reasonably effective model to screen for possible MIC failures. It is hoped that this study not only may contribute to a better understanding of the prevalence of MIC in the oil and gas sector, but also may highlight the key areas necessary to improve the diagnosis of MIC failures in the future. KW - Corrosion engineering KW - Oil and gas pipelines KW - Carbon steel KW - Artificial neural networks (ANNs) KW - Failure analysis KW - Microbiologically influenced corrosion (MIC) KW - Expert systems PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-632084 DO - https://doi.org/10.1016/j.engfailanal.2024.108426 SN - 1350-6307 VL - 163 SP - 1 EP - 16 PB - Elsevier Ltd. AN - OPUS4-63208 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Koerdt, Andrea T1 - Mikrobiell beeinflusste Korrosion – die Testungsart entscheidet N2 - In diesem kurzem Artikel wird die neue Testungsart druch Hi-Tension vorgestellt. Der Hauptfokus liegt dabei auf die Umweltsimulations-Säule, mit deren Hilfe die bisher bekannten Korrosionsraten von methanogenen Archaea signifikant erhöht wurden. KW - Hi-Tension KW - MIC KW - Methanogene KW - Umweltsimulation PY - 2021 DO - https://doi.org/10.1007/s12268-021-1507-7 VL - 27 SP - 100 EP - 100 PB - BIOspektrum Springer AN - OPUS4-52193 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Koerdt, Andrea A1 - Gerengi, Husnu A1 - Kaya, Ertugrul A1 - M. Solomon, Moses A1 - Snape, Matthew T1 - Advances in the Mitigation of Microbiologically Influenced Concrete Corrosion: A Snapshot N2 - Concrete, a versatile construction material, faces pervasive deterioration due to microbiologically influenced corrosion (MIC) in various applications, including sewer systems, marine engineering, and buildings. MIC is initiated by microbial activities such as involving sulfate-reducing bacteria (SRB), sulfur-oxidizing bacteria (SOB), etc., producing corrosive substances like sulfuric acid. This process significantly impacts structures, causing economic losses and environmental concerns. Despite over a century of research, MIC remains a debated issue, lacking standardized assessment methods. Microorganisms contribute to concrete degradation through physical and chemical means. In the oil and gas industry, SRB and SOB activities may adversely affect concrete in offshore platforms. MIC challenges also arise in cooling water systems and civil infrastructures, impacting concrete surfaces. Sewer systems experience biogenic corrosion, primarily driven by SRB activities, leading to concrete deterioration. Mitigation traditionally involves the use of biocides and surface coatings, but their long-term effectiveness and environmental impact are questionable. Nowadays, it is important to design more eco-friendly mitigation products. The microbial-influenced carbonate precipitation is one of the green techniques and involves incorporating beneficial bacteria with antibacterial activity into cementitious materials to prevent the growth and the formation of a community that contains species that are pathogenic or may be responsible for MIC. These innovative strategies present promising avenues for addressing MIC challenges and preserving the integrity of concrete structures. This review provides a snapshot of the MIC in various areas and mitigation measures, excluding underlying mechanisms and broader influencing factors. KW - MIC KW - Corrosion KW - Concrete KW - Environment PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-619218 DO - https://doi.org/10.3390/ma17235846 VL - 17 IS - 23 SP - 1 EP - 19 PB - MDPI AN - OPUS4-61921 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -