TY - JOUR
T1 - Estimation of metal loss by corrosion process in heat exchangers applied to hydrotreating systems
AU - Velázquez, J. C.
AU - Barenca, G.
AU - Teran, G.
AU - Hernádez-Sánchez, E.
AU - Capula-Colindres, S.
AU - Hernández-Sánchez, J.
AU - Herrera-Hernández, H.
N1 - Publisher Copyright:
© 2015 The Authors.
PY - 2015
Y1 - 2015
N2 - It is well known that among of all the components of hydrotreating systems used in the industrial processes, the heat exchangers that pre-heat the reactor suffer the greatest degree of degradation by pitting corrosion due to extreme temperature exposure. Typically, two different mathematical analysis were used to estimate the probability of failure by metal loss as a consequence of pitting corrosion mechanism: short-term and long-term corrosion rate (STCR and LTCR, respectively), as designated by API 510 standard method. However, the results are often misunderstood when the difference between the calculated data of STCR and LTCR is large. For this reason, in this research the STCRs and LTCRs models were fitted to a generalized extreme value distribution (GEVD) to characterize the metal loss that take place in four heat exchangers, as well as to determine what kind of corrosion rate model is better for predicting the metal loss estimation. According to the results obtained in this research, the STCR model appears to be the most appropriate analysis for estimating future metal loss by pitting corrosion for the heat exchangers reactors used in hydrotreating systems.
AB - It is well known that among of all the components of hydrotreating systems used in the industrial processes, the heat exchangers that pre-heat the reactor suffer the greatest degree of degradation by pitting corrosion due to extreme temperature exposure. Typically, two different mathematical analysis were used to estimate the probability of failure by metal loss as a consequence of pitting corrosion mechanism: short-term and long-term corrosion rate (STCR and LTCR, respectively), as designated by API 510 standard method. However, the results are often misunderstood when the difference between the calculated data of STCR and LTCR is large. For this reason, in this research the STCRs and LTCRs models were fitted to a generalized extreme value distribution (GEVD) to characterize the metal loss that take place in four heat exchangers, as well as to determine what kind of corrosion rate model is better for predicting the metal loss estimation. According to the results obtained in this research, the STCR model appears to be the most appropriate analysis for estimating future metal loss by pitting corrosion for the heat exchangers reactors used in hydrotreating systems.
KW - Corrosion rate
KW - Extreme value distribution
KW - Heat exchanger
KW - Hydrotreating systems
KW - Mathematical analysis
KW - Metal loss
UR - http://www.scopus.com/inward/record.url?scp=84945910183&partnerID=8YFLogxK
M3 - Artículo
SN - 1452-3981
VL - 10
SP - 7929
EP - 7940
JO - International Journal of Electrochemical Science
JF - International Journal of Electrochemical Science
IS - 10
ER -