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