Abstract:Microbiologically influenced corrosion (MIC) is a major problem in the petroleum industry. Culture-based techniques such as most probable number (MPN) and isolation only reveal a very small data of the microorganisms present. By application of metagenomic analysis, the microbial community present in the sample has been identified, which helps in understanding what microorganisms are doing and even what they are capable of doing, by identifying their genomic and thus metabolic potential. For this reason, format… Show more
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