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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® software.

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.

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