Characterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field.
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ArticleAuthors
Nasser, Badoor Ali HassanSaito, Yoshimoto
Alarawi, Mohammed
Humam, Abdulmohsen A
Mineta, Katsuhiko

Gojobori, Takashi

KAUST Department
Environmental Science and Engineering ProgramBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Bioscience Program
KAUST Grant Number
BAS/1/1059/01/01FCC/1/1976/20/01
Date
2021-01-15Submitted Date
2020-11-25Permanent link to this record
http://hdl.handle.net/10754/666930
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Corrosion in pipelines and reservoir tanks in oil plants is a serious problem in the global energy industry because it causes substantial economic losses associated with frequent part replacement and can lead to potential damage to entire crude oil fields. Previous studies revealed that corrosion is mainly caused by microbial activities in a process currently termed microbiologically influenced corrosion (MIC) or biocorrosion. Identifying the bacteria responsible for biocorrosion is crucial for its suppression. In this study, we analyzed the microbial communities present at corrosion sites in oil plant pipelines using comparative metagenomic analysis along with bioinformatics and statistics. We analyzed the microbial communities in pipelines in an oil field in which groundwater is used as injection water. We collected samples from four different facilities in the oil field. Metagenomic analysis revealed that the microbial community structures greatly differed even among samples from the same facility. Treatments such as biocide administration and demineralization at each location in the pipeline may have independently affected the microbial community structure. The results indicated that microbial inspection throughout the pipeline network is essential to prevent biocorrosion at industrial plants. By identifying the bacterial species responsible for biocorrosion, this study provides bacterial indicators to detect and classify biocorrosion. Furthermore, these species may serve as biomarkers to detect biocorrosion at an early stage. Then, appropriate management such as treatment with suitable biocides can be performed immediately and appropriately. Thus, our study will serve as a platform for obtaining microbial information related to biocorrosion to enable the development of a practical approach to prevent its occurrence.Citation
Nasser, B., Saito, Y., Alarawi, M., Humam, A. A., Mineta, K., & Gojobori, T. (2021). Characterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field. Gene, 145425. doi:10.1016/j.gene.2021.145425Sponsors
We acknowledge KAUST Bioscience Core Laboratories for their support with regard to the sequencing.This work was supported by funding from King Abdullah University of Science and Technology (KAUST) under award numbers BAS/1/1059/01/01 and FCC/1/1976/20/01. The funder played no role in the study design, data collection and interpretation, or decision to submit the work for publication.
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Elsevier BVJournal
GenePubMed ID
33450352Additional Links
https://linkinghub.elsevier.com/retrieve/pii/S0378111921000196ae974a485f413a2113503eed53cd6c53
10.1016/j.gene.2021.145425
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Except where otherwise noted, this item's license is described as This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
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