Corrosion Behavior of X80 Steel Welded Joint in Simulated Natural Gas Condensate Solutions

doi:10.11900/0412.1961.2019.00237

Acta Metall Sin

2020, Vol. 56

Issue (2): 137-147 DOI: 10.11900/0412.1961.2019.00237

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Corrosion Behavior of X80 Steel Welded Joint in Simulated Natural Gas Condensate Solutions

CHEN Fang,LI Yadong,YANG Jian,TANG Xiao,LI Yan(

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School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China

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CHEN Fang,LI Yadong,YANG Jian,TANG Xiao,LI Yan. Corrosion Behavior of X80 Steel Welded Joint in Simulated Natural Gas Condensate Solutions. Acta Metall Sin, 2020, 56(2): 137-147.

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Abstract

Carbon steels are widely used as transportation pipelines in oil and gas fields and welding is one of the main ways of connecting pipeline steel. The welded joints are easily corroded due to the difference in composition, structure and properties of the various components. The effect of content of HAc, Cl^-, ethylene glycol (MEG) and temperature (T) on the corrosion behavior of welded joint of X80 steel in a simulated natural gas condensate saturated with CO₂ was studied by the orthogonal experimental design, weight loss experiment and electrochemical experiment. It is demonstrated that the corrosion rate of the welded joint is significantly higher than that of the base metal because of the formation of macroscopic corrosion galvanic cells, and the corrosion of the weld metal as an anode region is accelerated to become a weak link of the welded joint. The significance of the four factors on the corrosion process is: c(HAc)>T $\gg$c(Cl^-)>c(MEG), c(HAc) and T are the main factors affecting the corrosion behavior, and c(Cl^-) and c(MEG) are secondary factors. Base metal and weld metal corrosion tendencies increase with increasing temperature. Because ferrous acetate is less protective as a corrosion product, as the c(HAc) increases, the impedance of the base metal and weld metal decreases, and the corrosion rate increases. Based on the results of orthogonal experiments, a multivariate linear regression equation was established.

Key words: X80 pipeline steel welded joint natural gas condensate corrosion behavior

Received: 24 July 2019

ZTFLH:

TG172

Fund: National Natural Science Foundation of China(41676071);Fundamental Research Funds for the Central Universities(18CX05021A)

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	Fang CHEN
	Yadong LI
	Jian YANG
	Xiao TANG
	Yan LI

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https://www.ams.org.cn/EN/10.11900/0412.1961.2019.00237 OR https://www.ams.org.cn/EN/Y2020/V56/I2/137

Fig.1 Microstructures of X80 welded joint (WJ) (F—ferrite, AF—acicular ferrite, PF—polygonal ferrite, LB—lath bainite, GB—granular bainite, M-A—martensite-austenite)(a) base metal (BM) (b) weld metal (WM) (c) coarse grained heat affected zone (CGHAZ)(d) fine grained heat affected zone (FGHAZ) (e) intercritical heat affected zone (ICHAZ)

Table 1 Orthogonal results and analysis of the BM and WJ

Table 2 Equation significant variance analysis table

Fig.2 Open circuit potentials (E_OCP) of BM (a) and WM (b) in simulated natural gas condensate at different temperatures

Fig.3 EIS of BM (a) and WM (b) in simulated natural gas condensate at different temperatures

Fig.4 Equivalent circuit for fitting EIS data (R_s—solution resistance, R_p—polarization resistance, R_L—inductive resistance, L—inductance, C_dl—double layer capacitance)

Table 3 Fitting data of EIS of BM and WM in simulated natural gas condensate at different temperatures

Fig.5 Potentiodynamic polarization curves of BM (a) and WM (b) in simulated natural gas condensate at different temperatures

Table 4 Fitting data of potentiodynamic polarization curves of BM and WM in simulated natural gas condensate at different temperatures

Fig.6 Open circuit potential of BM (a) and WM (b) in simulated natural gas condensate in different concentrations of HAc (c(HAc))

Fig.7 EIS of BM (a) and WM (b) in simulated natural gas condensate in different concentrations of HAc

Table 5 Fitting data of EIS of BM and WM in simulated natural gas condensate in different concentrations of HAc

Fig.8 Potentiodynamic polarization curves of BM (a) and WM (b) in simulated natural gas condensate in different concentrations of HAc

Table 6 Fitting data of potentiodynamic polarization curves of BM and WM in simulated natural gas condensate in different concentrations of HAc

Fig.9 Macroscopic corrosion morphologies of X80 steel WJ(a) front view (b) side view

Fig.10 Corrosion rates of BM (a) and WJ (b) of X80 steel in simulated natural gas condensate at different temperatures

Fig.11 Corrosion rates of BM (a) and WJ (b) of X80 steel in simulated natural gas condensate in different concentrations of HAc

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