西南石油大学学报(自然科学版) ›› 2010, Vol. 32 ›› Issue (3): 137-140.DOI: 10.3863/j.issn.1674-5086.2010.03.026

• 油气化学工程与化工 • 上一篇    下一篇

油气生产过程中CO2腐蚀预测研究

马德胜1,2 王伯军2 吴淑红2   

  1. 1.中国地质大学(武汉)资源学院,湖北 武汉 430074; 2.中国石油勘探开发研究院热力采油研究所,北京 海淀 100083
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-06-20 发布日期:2010-06-20

RESEARCH ON PREDICTION OF CARBON DIOXIDE CORROSION IN HYDROCARBON PRODUCTION PROCESS

MA De-sheng1,2 WANG Bo-jun2 WU Shu-hong2   

  1. 1.Faculty of Resources,China University of Geosciences (Wuhan),Wuhan Hubei 430074,China;2.Research Institute of Petroleum Exploration & Development,CNPC,Haidian Beijing 100083,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-06-20 Published:2010-06-20

摘要: 在油气生产过程中,由于油管的内腐蚀严重,时常发生穿孔、断裂事故,直接影响了油气田的正常生产和动态监测工作。为了弄清油气井腐蚀原因,在广泛调研CO2腐蚀的基础上,认为影响腐蚀速度的主要外部因素是环境温度、CO2分压、pH值、流速等,结合室内实验和现场应用,基于NORSOK腐蚀模型建立了更适合于油田实际的腐蚀预测模型,进行了影响腐蚀速度的敏感性分析,拓宽了NORSOK腐蚀模型的应用范围。分析结果与实验数据相吻合,说明该模型可以应用于油气田复杂环境腐蚀情况并能得到较好的分析判断结果,为油田注采CO2管材防腐预测提供了依据。

关键词: CO2腐蚀, 数学模型, 腐蚀机理, 敏感性分析, 油气生产

Abstract: The internal corrosion of well tubing in oilfield production is always serious and the accidents of tubing perforation and rupture occur frequently,which directly affects the normal production and performance monitoring.In order to find out the cause of well corrosion,based on extensive literature review on CO2 corrosion,external environmental factors which influence corrosive rate such as environmental temperature,CO2 partial pressure,pH value and flow rate are analyzed.Integrating lab experiment and field application,a new corrosion prediction model developed upon NORSOK model is established which is more applicable considering field reality.This model broadens the application extent of NORSOK corrosion model and the sensitivity analysis is undertaken on the factors affecting corrosion rate.The result of this analysis coincides with that of the laboratory findings which shows that the corrosion prediction model can be applied to the complex corrosion circumstance of oil and gas fields and better results in the analysis and judgment can be obtained.This study offers reference for pipe anti-corrosion prediction in CO2 injection or production.

Key words: CO2 corrosion, numerical model, corrosion mechanism, sensibility analysis, hydrocarbon production

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