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试验研究

X65钢多因素协同腐蚀行为和腐蚀预测模型研究

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  • 1.中海石油技术检测有限公司,天津 300452;2.西南石油大学石油与天然气工程学院,四川 成都 610000
邹 庆(1996-),硕士,研究方向为油气管道安全工程,电话:135475227497,E-mail:1422539514@qq.com

收稿日期: 2023-02-17

  修回日期: 2023-03-12

  录用日期: 2023-04-12

  网络出版日期: 2023-08-25

Study on Multivariate Synergistic Corrosion Behavior and Corrosion Prediction Model of X65 Steel

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  • 1.China National Offshore Oil Technology Testing Co.,Ltd.,Tianjin 300452,China 2.School of Oil and Gas Engineering,Southwest Petroleum University,Chengdu 610000,China

Received date: 2023-02-17

  Revised date: 2023-03-12

  Accepted date: 2023-04-12

  Online published: 2023-08-25

摘要

海底管道腐蚀失效风险激增,有必要对海底管道内腐蚀行为和腐蚀速率进行研究。采用海底管道常用钢材X65 钢,利用高温高压反应釜进行了六因素三水平18 组正交模拟试验,研究了CO2、H2S、pH 值、Cl-、温度、流速等服役环境因素对X65 钢的协同腐蚀行为,确定了腐蚀主控因素为CO2分压>H2S 分压>Cl-浓度>pH 值>流速>温度。基于扫描电镜检测结果,明确了H2S、CO2与Cl-的协同腐蚀行为,CO2形成致密的FeCO3位于腐蚀产物膜底部,表面为Fe 的硫化物,Cl-穿过腐蚀产物膜层,促进腐蚀的发生。最后基于正交试验数据,建立了六因素腐蚀速率预测模型,预测误差在20%以内。

关键词: X65 钢; CO2; H2S; 腐蚀预测

本文引用格式

张金龙, 王丹丹, 魏晨亮, 李 霞, 邹 庆 . X65钢多因素协同腐蚀行为和腐蚀预测模型研究[J]. 材料保护, 2023 , 56(8) : 97 -102 . DOI: 10.16577/j.issn.1001-1560.2023.0192

Abstract

The risk of corrosion failure of submarine pipeline increases sharply,and it is necessary to study the corrosion behavior and corrosion rate of submarine pipeline.In this work,18 groups of six factors and three-level orthogonal experiments were carried out for the submarine pipelines commonly used steel X65 steel in high temperature and high pressure reactors.The synergistic corrosion behavior of X65 steel by CO2,H2S,pH value,Cl-,temperatures and flow rates was studied,and the main controlling factors for corrosion were determined as CO2partial pressure >H2S partial pressure >Cl-concentration >pH value >flow rate >temperature.From the results of scanning electron microscope,the synergistic corrosion behavior of H2S,CO2and Cl-was clarified: CO2formed dense FeCO3,which was located at the bottom of the corrosion product film,and the surface was Fe sulfide.Moreover,Cl-passed through the corrosion product film to promote the occurrence of corrosion.Finally,based on the orthogonal experimental data,a six-factor corrosion rate prediction model was established,and the prediction model error was less than 20%.

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