Pitting Depth Prediction Caused by SRB using Empirical Equation

Abstract

Microbiologically influenced corrosion (MIC) is a serious problem in the oil and gas industry. The most common microorganism responsible for MIC is sulfate-reducing bacteria (SRB) which produces detrimental sulfide ions into the environment. Currently, there are some prediction models that develop to predict corrosion rate caused by SRB. However, among the models, the prediction is limited to predict the general corrosion rate, whereas, SRB caused localized corrosion. Thus, the objective of this work is to predict the pitting depth caused by SRB using available empirical equation. The study showed that the pitting depth increased with the increasing of sulfide concentration. In contrast, the pitting depth decreased with increasing sulfite concentration. The decreasing of pitting depth is related to the inhibitive FeS film formed, while the increasing of pitting depth is caused by the decreasing of the film thickness in the presence of sulfite.

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO2

“…Fatah et al (2013) developed an empirical equation of SRB corrosion based on the metabolic species. Then Fatah et al (2019) used the equation to predict the depth of pitting corrosion caused by SRB. Xu et al (2016) described a mechanistic model based on a biocatalytic cathodic sulfate reduction theory, and a pitting prediction software package was developed based on these mechanisms.…”

The Influence of Homogenization on Corrosion Rate of Zinc as Sacrificial Anode for API 5L X65 Steel

“…Corrosion occurs due to electrochemical reactions involving spontaneous electrical current. Corrosion cannot be avoided but it can be managed although in many cases it is very expensive [1][2][3]. Corrosion is an electrochemical reaction that involves electrons movement as a result of a reduction-oxidation reaction [2].…”