Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm

In recent years, the risk assessment of well control equipment has faced some problems, such as shallow defect detection depth, large identification error of corrosion defect type, inaccurate equipment corrosion assessment, and so on. To solve the above problems, a corrosion defect classification an...

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Bibliographic Details
Main Authors: He Zhang, Jiangna Cao, Haibo Liang, Gang Cheng
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Petroleum
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405656122000554
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