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Prediction of Corrosion Rate of Casing Steel Containing CO 2/H 2S Based on Multiple Linear Regression
Chen Hao, Yang Erlong, Ji Dawei, Li Yilin, Zhao Liang, Yang Yunqing
Abstract263)   HTML    PDF (1203KB)(110)      
At present,the research on the corrosion rate of the oil casing in the wellbore containing CO2/H2S is the current research hot spot in the field of corrosion and protection. In order to accurately study the corrosion situation of the oil casing and predict the corrosion rate,the weight loss method was first adopted to study the corrosion rate under different corrosion time,and the experimental results were fitted. Secondly, combining the research results of this paper with the previous research content,the Table Curve 3D software for multiple regression was used to determine the corrosion rate prediction model.The results show that the corrosion rate decreases continuously with the increase of time.The fitting of the experimental results R2 is 0.989 3,the error is small.The model established by multiple regression can accurately predict the corrosion rate and the error is within 5%,which meets the accuracy requirements,and can lay the foundation for the on⁃site oil and gas well safety evaluation.
2021, 34 (1): 58-62. DOI: 10.3969/j.issn.1006-396X.2021.01.010