Assessment of microbiologically influenced corrosion in oilfield water handling systems using molecular microbiology methods

The monitoring, prediction and control of microbiologically influenced corrosion (MIC) are common challenges in the oil industry. This paper aims to optimize monitoring of souring and corrosion threat in oil field water handling systems using latest developments in molecular microbiological methods....

Full description

Saved in:
Bibliographic Details
Published inUpstream Oil and Gas Technology Vol. 7; p. 100041
Main Authors Senthilmurugan, Balasubramanian, Radhakrishnan, Jayaprakash S., Poulsen, Morten, Tang, Lone, AlSaber, Shouq
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2021
Subjects
Microbiologically influenced corrosion
Molecular microbiology
NGS
qPCR
Sulfate reducing bacteria
Water treatment
Sulfate reducing bacteria
Water treatment
Microbiologically influenced corrosion
qPCR
Molecular microbiology
NGS
Online AccessGet full text

Cover

More Information
Summary:The monitoring, prediction and control of microbiologically influenced corrosion (MIC) are common challenges in the oil industry. This paper aims to optimize monitoring of souring and corrosion threat in oil field water handling systems using latest developments in molecular microbiological methods. Microbial quantification was performed using quantitative polymerase chain reaction (qPCR) method. Microbial population structure fingerprinting was done using next generation sequencing (NGS). The findings were compared with the corrosion rates and most probable number (MPN) values obtained from conventional serial dilution methods. The results show that molecular microbiology methods provide faster and optimum corrosion mitigation strategies.
ISSN:2666-2604
2666-2604
DOI:10.1016/j.upstre.2021.100041