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Bibliometric Analysis of Microbiologically Influenced Corrosion (MIC) of Oil and Gas Engineering Systems

Authors: Seyed Javad Hashemi; Nicholas Bak; Faisal Khan; Kelly Hawboldt; Lianne Lefsrud; John Wolodko;

Bibliometric Analysis of Microbiologically Influenced Corrosion (MIC) of Oil and Gas Engineering Systems

Abstract

Managing microbiologically influenced corrosion (MIC) is both an economic and technological challenge for the oil and gas industry. There are studies and data generated regarding the corrosion mechanism, microbial species involved, and chemicals that may enhance/inhibit MIC. However, these data are diffuse, sometimes having contradictory conclusions and ignoring one or more key factors that drive MIC. This paper investigates the evolution of MIC knowledge in the past decades by conducting a bibliometric analysis of the literature. The paper also identifies current knowledge gaps and proposes future research directions. Although MIC mechanisms, monitoring, and control have been active areas of research in recent years, linking microbiological activities, the chemical environment (e.g., produced water lines vs. crude lines), and the corrosion mechanisms is still an important knowledge gap. The importance of a coordinated multidisciplinary approach to develop integrated knowledge, MIC mechanistic models, and integration of these factors in effective decision-making is also discussed in this paper.

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    33
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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