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Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
Open Access
Deep learning-based modeling of CO
2
corrosion rate prediction in oil and gas pipelines
Jian Cui
Jian Cui
Department of Industrial Engineering and Management, Peking University
Beijing, China
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Cui, Jian
,
Kun Fang
Kun Fang
China Petroleum Engineering & Construction Corp. Beijing Company
Beijing, China
Postdoctoral Workstation of China Construction Bank
Beijing, China
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Fang, Kun
,
Xueyi Sun
Xueyi Sun
China Petroleum Engineering & Construction Corp. Beijing Company
Beijing, China
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Sun, Xueyi
,
Ya Gao
Ya Gao
Department of Industrial Engineering and Management, Peking University
Beijing, China
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Gao, Ya
and
Yilan Shen
Yilan Shen
Postdoctoral Workstation of China Construction Bank
Beijing, China
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Shen, Yilan
Mar 19, 2025
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
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Published Online:
Mar 19, 2025
Received:
Nov 06, 2024
Accepted:
Feb 04, 2025
DOI:
https://doi.org/10.2478/amns-2025-0415
Keywords
Deep learning
,
Deep confidence network
,
Oil and gas pipeline
,
CO corrosion
,
Prediction model
© 2025 Jian Cui et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
