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dc.contributor.authorNasser, Badoor Ali Hassan
dc.contributor.authorSaito, Yoshimoto
dc.contributor.authorAlarawi, Mohammed
dc.contributor.authorHumam, Abdulmohsen A
dc.contributor.authorMineta, Katsuhiko
dc.contributor.authorGojobori, Takashi
dc.date.accessioned2021-01-19T10:49:10Z
dc.date.available2021-01-19T10:49:10Z
dc.date.issued2021-01-15
dc.date.submitted2020-11-25
dc.identifier.citationNasser, 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.2021.145425
dc.identifier.issn0378-1119
dc.identifier.pmid33450352
dc.identifier.doi10.1016/j.gene.2021.145425
dc.identifier.urihttp://hdl.handle.net/10754/666929
dc.description.abstractCorrosion 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.
dc.description.sponsorshipWe acknowledge KAUST Bioscience Core Laboratories for their support with regard to the sequencing.
dc.description.sponsorshipThis 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.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0378111921000196
dc.rightsThis 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.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleCharacterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field.
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.identifier.journalGene
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSaudi Aramco, Dhahran, Saudi Arabia.
dc.identifier.pages145425
kaust.personNasser, Badoor Ali Hassan
kaust.personSaito, Yoshimoto
kaust.personAlarawi, Mohammed
kaust.personMineta, Katsuhiko
kaust.personGojobori, Takashi
kaust.grant.numberBAS/1/1059/01/01
kaust.grant.numberFCC/1/1976/20/01
dc.date.accepted2021-01-05
kaust.acknowledged.supportUnitKAUST Bioscience Core Lab


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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.
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.