Pitting Depth Prediction Caused by SRB using Empirical Equation

Autor:	Bambang Ari Wahjoedi, Eko Sulistyo, M.C. Fatah, Mokhtar Che Ismail, Halim Rusdi
Rok vydání:	2019
Předmět:	chemistry.chemical_classification Empirical equations Materials science Sulfide Empirical Equation lcsh:Mechanical engineering and machinery Metallurgy Corrosion Pitting Depth chemistry.chemical_compound chemistry Sulfite SULFIDE ION lcsh:TJ1-1570 Sulphate Reducing Bacteria (SRB) Prediction
Zdroj:	Rekayasa Mesin, Vol 10, Iss 1, Pp 37-43 (2019)
ISSN:	2477-6041 2338-1663
DOI:	10.21776/ub.jrm.2019.010.01.6
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f7c218d46305617714a189b44bfb4d1 https://doi.org/10.21776/ub.jrm.2019.010.01.6 Zobrazit plný text záznamu