Pitting corrosion modelling of X80 steel utilized in offshore petroleum pipelines

2020 ◽  
Vol 141 ◽  
pp. 135-139 ◽  
Author(s):  
Ehsan Arzaghi ◽  
Bing H. Chia ◽  
Mohammad M. Abaei ◽  
Rouzbeh Abbassi ◽  
Vikram Garaniya
2017 ◽  
Vol 52 (8) ◽  
pp. 605-610 ◽  
Author(s):  
Cristian Felipe Pérez-Brokate ◽  
Dung di Caprio ◽  
Damien Féron ◽  
Jacques de Lamare ◽  
Annie Chaussé

CORROSION ◽  
10.5006/3810 ◽  
2021 ◽  
Author(s):  
Chengcheng Xu ◽  
Yuxiang Zhu ◽  
Meng Yu ◽  
Ying Jin ◽  
Lei Wen ◽  
...  

In this research, the effect of hydrostatic pressure on metastable and stable pitting corrosion of API X80 steel was investigated by using electrochemical method in simulated deep-sea environment. Cumulative probability distribution analysis of metastable pitting events revealed that hydrostatic pressure promoted the occurrence of metastable pitting corrosion and transformation trend of metastable pitting corrosion to stable pitting corrosion. Moreover, according to the results of scanning Kelvin probe force microscopy(SKPFM) tests, pitting corrosion of test steel can be confirmed to originate from the position of the interface between the inclusion and the substrate. Finally, combined with finite element analysis, the mechanism by which hydrostatic pressure promotes the occurrence and expansion of stable pitting corrosion of test steel in simulated deep -sea environment is explained.


Materials ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 6981
Author(s):  
Congming Xu ◽  
Haoran Gao ◽  
Wensheng Zhu ◽  
Wenyuan Wang ◽  
Can Sun ◽  
...  

The effect of SRB and applied potential on the stress corrosion sensitivity of X80 pipeline steel was analyzed in high-pH soil simulated solution under different conditions using a slow strain rate tensile test, electrochemical test, and electronic microanalysis. The experimental results showed that X80 pipeline steel has a certain degree of SCC sensitivity in high-pH simulated solution, and the crack growth mode was trans-granular stress corrosion cracking. In a sterile environment, the SCC mechanism of X80 steel was a mixture mechanism of anode dissolution and hydrogen embrittlement at −850 mV potential, while X80 steel had the lowest SCC sensitivity due to the weak effect of AD and HE; after Sulfate Reducing Bacteria (SRB) were inoculated, the SCC mechanism of X80 steel was an AD–membrane rupture mechanism at −850 mV potential. The synergistic effect of Cl− and SRB formed an oxygen concentration cell and an acidification microenvironment in the pitting corrosion pit, and this promoted the formation of pitting corrosion which induced crack nucleation, thus significantly improving the SCC sensitivity of X80 steel. The strong cathodic polarization promoted the local corrosion caused by SRB metabolism in the presence of bacteria, whereby the SCC sensitivity in the presence of bacteria was higher than that in sterile conditions under strong cathodic potential.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 19-29
Author(s):  
Shuting Ren ◽  
Yong Li ◽  
Bei Yan ◽  
Jinhua Hu ◽  
Ilham Mukriz Zainal Abidin ◽  
...  

Structures of nonmagnetic materials are broadly used in engineering fields such as aerospace, energy, etc. Due to corrosive and hostile environments, they are vulnerable to the Subsurface Pitting Corrosion (SPC) leading to structural failure. Therefore, it is imperative to conduct periodical inspection and comprehensive evaluation of SPC using reliable nondestructive evaluation techniques. Extended from the conventional Pulsed eddy current method (PEC), Gradient-field Pulsed Eddy Current technique (GPEC) has been proposed and found to be advantageous over PEC in terms of enhanced inspection sensitivity and accuracy in evaluation and imaging of subsurface defects in nonmagnetic conductors. In this paper two GPEC probes for uniform field excitation are intensively analyzed and compared. Their capabilities in SPC evaluation and imaging are explored through simulations and experiments. The optimal position for deployment of the magnetic field sensor is determined by scrutinizing the field uniformity and inspection sensitivity to SPC based on finite element simulations. After the optimal probe structure is chosen, quantitative evaluation and imaging of SPC are investigated. Signal/image processing algorithms for SPC evaluation are proposed. Through simulations and experiments, it has been found that the T-shaped probe together with the proposed processing algorithms is advantageous and preferable for profile recognition and depth evaluation of SPC.


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