Pitting Depth Prediction Caused by SRB using Empirical Equation


  • Martin Fatah Sekolah Tinggi Teknik PLN
  • Mokhtar C Ismail Universiti Teknologi Petronas
  • Bambang A Wahjoedi
  • Halim Rusdi
  • Eko Sulistyo




Sulphate Reducing Bacteria (SRB), Prediction, Empirical Equation, Pitting Depth


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.


FLEMMING, H.C., Economical and technical overview, in Microbiologically Influenced Corrosion of Materials, E. Heitz, H.C. Flemming, and W. Sand, Editors. Springer-Verlag: Berlin. p. 6-14. 1996.

MAXWELL, S., et al., Monitoring and control of bacterial biofilms in oilfield water handling systems, in CORROSION/04. NACE International: New Orleans. p. 752. 2004.

ZHAO, K., Investigation of microbiologically influenced corrosion (MIC) and biocide treatment in anaerobic salt water and development of a mechanistic MIC model, in Chemical Engineering. Ohio University. 2008.

BORENSTEIN, W.S. and P.B. LINDSAY, MIC failure of 304 stainless steel piping left stagnant after hydro testing. Materials performance. 41: p. 70-73. 2002.

ABEDI, S.S., A. ABDOLMALEKI, and N. ADIBI, Failure analysis of SCC and SRB induced cracking of a transmission oil products pipeline. Engineering Failure Analysis. 14(1): p. 250-261. 2007.

TILLER, A.K., Some case histories of corrosion failures induced by bacteria. International Biodeterioration. 24(4–5): p. 231-237. 1988.

KUHR, C.A.H.V.W., and L.S.V.D. VLUGHT, The graphitization of cast iron as an electrobiochemical process in anaerobic soils. Water. 18: p. 147-165. 1934.

DOMINIQUE, T. and S. WOLFGANG, Microbially influenced corrosion, in Corrosion mechanism in theory and practice, P. Marcus, Editor. Marcel Dekker: New York. p. 563-603. 2002.

NEWMAN, R.C., K. RUMASH, and B.J. WEBSTER, The effect of pre-corrosion on the corrosion rate of steel in neutral solutions containing sulphide: relevance to microbially influenced corrosion. Corrosion Science. 33(12): p. 1877-1884. 1992.

KUANG, F., et al., Effects of sulfate-reducing bacteria on the corrosion behavior of carbon steel. Electrochimica Acta. 52(20): p. 6084-6088. 2007.

SHERAR, B.W.A., et al., Characterizing the effect of carbon steel exposure in sulfide-containing solutions to microbially induced corrosion. Corrosion Science. 53(3): p. 955-960. 2011.

FATAH, M.C., M.C. ISMAIL, and B.A. WAHJOEDI, Effects of sulfide ion on the corrosion behavior of X52 steel in a simulated solution containing metabolic products species: A study pertaining to microbiologically influenced corrosion (MIC). Corrosion Engineering Science and Technology. 2012.

FATAH, M.C., M.C. ISMAIL, and B.-A. WAHJOEDI, the Empirical equation of sulfate-reducing bacteria (SRB) corrosion based on abiotic chemistry approach. Anti-Corrosion Method and Material. 60: p. 206-212. 2013.

FATAH, M.C., M.C. ISMAIL, and B.A. WAHJOEDI, Effects of sulfide ion on corrosion behavior of X52 steel in a simulated solution containing metabolic products species: A study pertaining to microbiologically influenced corrosion (MIC). Corrosion Engineering Science and Technology. 48: p. 211-220. 2013.

LI, S.Y., et al., Microbiologically influenced corrosion of underground pipelines under the dis-bonded coatings. Metals and Materials. 6: p. 281-286. 2000.

WERNER, S.E., et al., Pitting of type 304 stainless steel in the presence of a biofilm containing sulfate-reducing bacteria. Corrosion Science. 40: p. 465-480. 1998.

PADILLA-VIVEROS, A.A., et al., Electrochemical kinetics of sulfate-reducing bacteria isolated from a gas pipeline, in CORROSION/03. NACE International: San Diego. p. 548. 2003.

SASTRI, V.S., E. GHALI, and M.ELBOUJDAINI, Corrosion prevention and protection: a practical solution. John Wiley & Sons. 2007.

GU, T. and D. XU, Demystifying MIC mechanism, in CORROSION/10. Texas. p. 213. 2010.

AL-DARBI, M.M., K. AGHA, and R. ISLAM, Modeling and simulation of the pitting microbiologically influenced corrosion (MIC) in the different industrial system, in CORROSION/05. NACE International: Houston. p. 505. 2005.

KUN-LIN, J.L. and S. NESIC, EIS investigation of CO2/H2S corrosion, in CORROSION/04. NACE International: New Orleans. p. 728. 2004.

SUN, W. and S. NESIC, A mechanistic model of H2S corrosion of mild steel, in CORROSION/07. NACE International: Colorado. p. 655. 2007.

VELOZ, M.A., and I. GONZÃLEZ, Electrochemical study of carbon steel corrosion in buffered acetic acid solutions with chlorides and H2S. Electrochimica Acta. 48(2): p. 135-144. 2002.

MA, H., et al., An ac impedance study of the anodic dissolution of iron in sulfuric acid solutions containing hydrogen sulfide. Journal of Electroanalytical Chemistry. 451(1–2): p. 11-17. 1998.

MA, H., et al., The influence of hydrogen sulfide on corrosion of iron under different conditions. Corrosion Science. 42(10): p. 1669-1683. 2000.

HEMMINGSEN, T. and T. VALAND, The reaction of the sulfite/bisulfite couple on SMO steel under anaerobic conditions. Electrochimica Acta. 36(8): p. 1367-1375. 1991.

KIM, E.J., et al., Facile synthesis and characterization of Fe/FeS nanoparticles for environmental applications. Applied Materials & Interfaces. 3: p. 1457-1462. 2011.