Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach

Purpose – The purpose of this paper is to develop an empirical equation of SRB corrosion based on their metabolic species. Design/methodology/approach – Solution containing SRB metabolic species was simulated using abiotic chemistry approach. Linear polarization technique was used to measure the cor...

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Bibliographic Details
Published in:Anti-corrosion methods and materials 2013-01, Vol.60 (4), p.206-212
Main Authors: Fatah, M.C, Ismail, M.C, Wahjoedi, B.A
Format: Article
Language:English
Subjects:
Abiotic factors
Bacteria
Bacterial corrosion
Carbon steel
Carbon steels
Chemistry
Corrosion
Corrosion effects
Corrosion inhibitors
Corrosion potential
Corrosion prevention
Corrosion products
Corrosion rate
Electrodes
Electrolytes
Empirical equations
Engineering
Gas industry
Linear polarization
Materials science
Mathematical analysis
Mechanical engineering
Metabolism
Pipelines
Regression analysis
Simulation
Statistical analysis
Statistical methods
Studies
Sulfate reduction
Sulfides
Sulphides
Sulphites
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Summary:Purpose – The purpose of this paper is to develop an empirical equation of SRB corrosion based on their metabolic species. Design/methodology/approach – Solution containing SRB metabolic species was simulated using abiotic chemistry approach. Linear polarization technique was used to measure the corrosion rate of X52-sample in simulated solution containing SRB metabolic products species. The curve obtained from LPR data was then fitted using multiple non-linear regression method by Minitab 15 Findings – Statistical analysis shows that sulphide and sulphite have significant effect on the X52 corrosion rate. Originality/value – Using abiotic chemistry approach, an empirical equation that considers SRB metabolic species has been developed. The equation could be used to predict carbon steel corrosion rate by SRB.
ISSN:0003-5599
1758-4221
DOI:10.1108/ACMM-Jun-2012-1183