Author(s)

Yifan He ¹, Wu Chen ¹, Zhigang Di ¹, Huiyu Wang ¹, Bo Huang ¹, Jixing Sun ¹, Xi Jin ¹, Yuecheng Yang ¹

Affiliation(s)

¹ CNOOC Changzhou Paint & Coating Industry Research Institute Co., Ltd., Tianjin, 300270, China

Corresponding Author

Yifan He

ABSTRACT

Offshore oil platforms, wind power facilities, aquaculture facilities and other facilities are exposed to harsh environments such as seawater, salt spray and humidity, and are highly vulnerable to corrosion threats, resulting in great risks. Therefore, it is necessary to carry out the detection of corrosion conditions in offshore engineering facilities. Through the comprehensive detection of various corrosion, risk points can be found, risks can be prevented, and accurate protection can be carried out. This is a very effective means for the health management of marine platforms. This paper summarizes the new corrosion detection technologies of offshore engineering facilities, including Alternating current field measurement (ACFM), electric field characteristic detection method, ultrasonic method, etc. This paper also looks forward to the development of corrosion detection technology. By obtaining comprehensive and accurate corrosion test results, we can conduct safety assessments of offshore engineering facilities in order to better adjust and optimize corrosion protection measures and ultimately ensure production safety.

KEYWORDS

Offshore engineering facilities, corrosion detection, alternating current field measurement (ACFM), ultrasonic method, anti-corrosion measures

CITE THIS PAPER

Yifan He*, Wu Chen, Zhigang Di, Huiyu Wang, Bo Huang, Jixing Sun, Xi Jin, Yuecheng Yang, Overview of Research on Corrosion Detection Technology for Offshore Engineering Facilities. Advances in Hydraulic Engineering (2023) Vol. 3: 8-12. DOI: http://dx.doi.org/10.23977/hyde.2023.030102.

REFERENCES

[1] Rankin S, Osnowski A, Mackay F, Perfect E, Achour M H, et al. (2018) Improving Corrosion Management by Using a Micelle Detection Technology. Journal of Petroleum Technology, 70(3): 20-22.
[2] Khan M A A, Hussain M, Djavanroodi F. (2021) Microbiologically influenced corrosion in oil and gas industries: A review. International Journal of Corrosion and Scale Inhibition, 10(1): 80-106.
[3] Zheng H, Sun Y, Luo T, Cheng X, Shao S, et al. (2023) Advances in coastal ocean boundary layer detection technology and equipment in China. Journal of Environmental Sciences, 123:156-168.
[4] Fan L, Huang Y, Bao Y, Tan X. (2021) Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors. Automation in construction, 132: 103953.
[5] Xu Z, Zhu Y, Ma H, Duan Y, Song D, et al. (2020) Research on the Technology of Conductor Corrosion Detection based on Eddy Current Testing. IOP Conference Series Earth and Environmental Science, 446: 022073.
[6] Mohamed S B. (2023) Application of Artificial Intelligence in Marine Corrosion Prediction and Detection. Journal of Marine Science and Engineering, 11: 256.
[7] Deng R, Shen T, Chen H, Lu J, Li W. (2020) Slippery liquid-infused porous surface (SLIPS): a perfect solution to both marine fouling and corrosion? Journal of Materials Chemistry A, 8(16): 7536-7547.
[8] Manjunatha H, Ratnam K V, Janardan S, Nadh R V, Babu T A. (2020) Marine Corrosion.
[9] Weng Y, Yan M. (2021) New Technology Integration in Environmental Corrosion Survey. Journal of Physics Conference Series, 1948(1): 012068.
[10] Fu Z, Wang X, Wang Q, Xu X, Fu N, et al. (2019) Advances and Challenges of Corrosion and Topology Detection of Grounding Grid. Applied Sciences, 9(11): 2290. 
[11] Ahuja S K, Shukla M K. (2018) A Survey of Computer Vision Based Corrosion Detection Approaches.

Sponsors, Associates, and Links

---

• Transactions on Forestry
  
  
• Aquaculture and Fisheries Resources
  
  
• Ship and Marine Hydrodynamics