Corrosion Prediction for Corrosion Rate of Carbon Steel in Oil and Gas Environment: A Review

Y P Asmara, Tedi Kurniawan

Abstract


Corrosion predictions are essential for corrosion and material engineers. It is used to prepare pre-Front End Engineering Design (pre-FEED). FEED guides to select appropriate materials, planning test schedule, work over management, and estimate future repair for cost analyses. Corrosion predictions also calculate life of pipeline and equipment systems during operational stages. As oil and gas environments are corrosive for carbon steel, it is important to account the corrosion rate of carbon steels in those environmental conditions. There are many existing corrosion predictions software, which are available in oil and gas industries. However, corrosion predictions only can be used for particular ranges of environmental conditions because they use different input parameters. To select the most applicable of corrosion predictions software, engineers have to understand theoretical background and fundamental concept of the software. This paper reviews the applications of existing corrosion prediction software in calculating corrosion rate of carbon steel in oil and gas environmental systems. The concept philosophy of software is discussed. Parameters used and range of conditions are also studied. From the results of studies, there are limitations and beneficial impacts in using corrosion software. Engineers should understand the fundamental theories of the corrosion mechanism. Knowing limitations of the models, the appropriate model can be correctly selected and interpretation of corrosion rate will close to the real data conditions.


Keywords


corrosion predictions models; oil and gas environments; carbon steel

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References


Alia, F. F., Kurniawan, T., Asmara, Y. P., Ani, M. H. B., & Nandiyanto, A. B. D. (2017, October). High temperature oxidation in boiler environment of chromized steel. IOP Conference Series: Materials Science and Engineering, 257(1), 012086.

Asmara, Y. P., & Ismail, M. C. (2011a). Study combinations effects of HAc in H2S/CO2 corrosion. Journal of Applied Sciences, 11(10), 1821-1826.

Asma, R. N., Yuli, P. A., & Mokhtar, C. I. (2011b). Study on the effect of surface finish on corrosion of carbon steel in CO2 environment. Journal of Applied Sciences, 11(11), 2053-2057.

Asmara, Y. P., & Ismail, M. C. (2012). Efficient design of response surface experiment for corrosion prediction in CO2 environments. Corrosion Engineering, Science and Technology, 47(1), 10-18.

Asmara, Y. P., Juliawati, A., & Sulaiman, A. (2013). Mechanistic model of stress corrosion cracking (scc) of carbon steel in acidic solution with the presence of H2S. IOP Conference Series: Materials Science and Engineering, 50(1), 012072).

Asmara, Y. P., Ismail, M. F., Chui, L. G., & Halimi, J. (2016). Predicting Effects of Corrosion Erosion of High Strength Steel Pipelines Elbow on CO2-Acetic Acid (HAc) Solution. IOP Conference Series: Materials Science and Engineering, 114 (1), 012128.

Asmara, Y. P., Siregar, J. P., Kurniawan, T., and Bachtiar, D. (2017). Application of response surface methodology method in designing corrosion inhibitor. IOP Conference Series: Materials Science and Engineering, 257(1), 012090.

Bockris, J. M., Drazic, D., & Despic, A. R. (1961). The electrode kinetics of the deposition and dissolution of iron. Electrochimica Acta, 4(2-4), 325-361.

de Waard, C., & Milliams, D. E. (1975). Carbonic acid corrosion of steel. Corrosion, 31(5), 177-181.

Eisenberg, M., Tobias, C. W., & Wilke, C. R. (1954). Ionic mass transfer and concentration polarization at rotating electrodes. Journal of the Electrochemical Society, 101(6), 306-320.

Kurniawan, T., Fauzi, F. A. B., & Asmara, Y. P. (2016). High-temperature Oxidation of Fe-Cr Steels in Steam Condition–A Review. Indonesian Journal of Science and Technology, 1(1), 107-114.

Leong, Y., Alia, F., & Kurniawan, T. (2016). High Temperature Oxidation Behavior of T91 Steel in Dry and Humid Condition. Indonesian Journal of Science and Technology, 1(2), 232-237.

Mokhtar, I. C. (2005). Prediction CO2 corrosion with the presence of acetic acid. (Doctoral dissertation: UMIST).

Mune, M. A. M., Minka, S. R., & Mbome, I. L. (2008). Response surface methodology for optimisation of protein concentratepreparation from cowpea [Vigna unguiculata (L.) Walp]. Food chemistry, 110(3), 735-741.

Nafday, O. A. (2004). Film Formation and CO2 Corrosion in the presence of Acetic Acid (Doctoral dissertation, Ohio University).

Nešić, S. (2007). Key issues related to modelling of internal corrosion of oil and gas pipelines–A review. Corrosion science, 49(12), 4308-4338.

Nordsveen, M., Nešic, S., Nyborg, R., & Stangeland, A. (2003). A mechanistic model for carbon dioxide corrosion of mild steel in the presence of protective iron carbonate films—part 1: theory and verification. Corrosion, 59(5), 443-456.

Silverman, D. C. (1988). Rotating cylinder electrode—geometry relationships for prediction of velocity-sensitive corrosion. Corrosion, 44(1), 42-49.

Silverman, D. C. (2004). The rotating cylinder electrode for examining velocity-sensitive corrosion—a review. Corrosion, 60(11), 1003-1023.

Wang, H. (2002). CO 2 corrosion mechanistic modeling in horizontal slug flow (Doctoral dissertation, Ohio University).




DOI: https://doi.org/10.17509/ijost.v3i1.10808

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