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Licensed Unlicensed Requires Authentication Published by De Gruyter May 16, 2022

Corrosion sensitivity analysis of pipelines in CO2 and H2S coexisting environment in the South China Sea

  • Huan Peng , Pan Fang EMAIL logo , Heng Luo and Hechao Sun
From the journal Corrosion Reviews

Abstract

The purpose of the present work is to investigate the corrosion sensitivity of pipelines of oil and gas wells under complex environmental conditions (i.e., the primary and secondary relationship of the influence of different environmental factors on pipeline corrosion). The orthogonal experiment is introduced to design the experimental scheme. The weight loss method is employed to analyze the average corrosion rate of N80 steel under different environmental conditions. And then the scanning electron microscope is used to explore the surface and cross-section corrosion morphology of the corrosion products. Besides, the components of corrosion products are obtained by the energy spectrum analysis. The research results indicate that H2S partial pressure is the most sensitive factor to the corrosion of N80 pipeline and the influence of CO2 partial pressure on corrosion of N80 pipeline is weaker than Cl concentration and temperature in the South China Sea. The study can help the oil drilling engineering search for direct and effective corrosion inhibitors under complex environmental conditions.


Corresponding author: Pan Fang, School of Mechanical Engineering, Southwest Petroleum University, Chengdu, 610500, China; and Sichuan Science and Technology Resource Sharing Service Platform of Oil and Gas Equipment Technology, Chengdu, China, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None decleared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

Appendix A

K 1 A = Y 1 + Y 2 + Y 3 + Y 4 , K 2 A = Y 5 + Y 6 + Y 7 + Y 8 , K 3 A = Y 9 + Y 10 + Y 11 + Y 12 , K 4 A = Y 13 + Y 14 + Y 15 + Y 16 , K 1 B = Y 1 + Y 5 + Y 9 + Y 13 , K 2 B = Y 2 + Y 6 + Y 10 + Y 14 , K 3 B = Y 3 + Y 7 + Y 11 + Y 15 , K 4 B = Y 4 + Y 8 + Y 12 + Y 16 , K 1 C = Y 1 + Y 6 + Y 11 + Y 16 , K 2 C = Y 2 + Y 5 + Y 12 + Y 15 , K 3 C = Y 3 + Y 8 + Y 9 + Y 14 , K 4 C = Y 4 + Y 7 + Y 10 + Y 13 , K 1 D = Y 1 + Y 7 + Y 12 + Y 14 , K 2 D = Y 2 + Y 8 + Y 11 + Y 13 , K 3 D = Y 3 + Y 5 + Y 10 + Y 16 , K 4 D = Y 4 + Y 6 + Y 9 + Y 15 ,

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Received: 2021-07-19
Revised: 2022-02-27
Accepted: 2022-03-11
Published Online: 2022-05-16
Published in Print: 2022-08-26

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