Deeppipe: Theory-guided prediction method based automatic machine learning for maximum pitting corrosion depth of oil and gas pipeline

J Du, J Zheng, Y Liang, N Xu, Q Liao, B Wang… - Chemical Engineering …, 2023 - Elsevier
Accurate monitoring of pipeline corrosion is important and necessary not only for the normal
operation of oil and gas pipelines but also for the reliable and stable supply of energy. To …

[HTML][HTML] Predicting maximum pitting corrosion depth in buried transmission pipelines: Insights from tree-based machine learning and identification of influential factors

H Mesghali, B Akhlaghi, N Gozalpour… - Process Safety and …, 2024 - Elsevier
Pitting corrosion is a primary type of external corrosion that poses a critical challenge in the
oil and gas industry, potentially leading to severe environmental, health, and economic …

Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar… - Process Safety and …, 2021 - Elsevier
The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

Interpretable machine learning for maximum corrosion depth and influence factor analysis

Y Song, Q Wang, X Zhang, L Dong, S Bai… - npj Materials …, 2023 - nature.com
We have employed interpretable methods to uncover the black-box model of the machine
learning (ML) for predicting the maximum pitting depth (dmax) of oil and gas pipelines …

A feature selection–based intelligent framework for predicting maximum depth of corroded pipeline defects

H Lu, H Peng, ZD Xu, JC Matthews… - … of Performance of …, 2022 - ascelibrary.org
Corrosion is one of the most common defects of buried pipelines. Accurate prediction of the
maximum pitting depth of corroded pipelines is conducive to assessing the remaining …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach

X Li, M Guo, R Zhang, G Chen - Ocean Engineering, 2022 - Elsevier
Pitting corrosion is considered to be one of the most dangerous failure forms of offshore
steel structures, and corrosion depth is treated as an important indicator of corrosion …

Evolution of corrosion prediction models for oil and gas pipelines: From empirical-driven to data-driven

Q Wang, Y Song, X Zhang, L Dong, Y Xi, D Zeng… - Engineering Failure …, 2023 - Elsevier
Oil and gas pipelines are under great threat of corrosion due to the harsh service
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …

[HTML][HTML] Predictive deep learning for pitting corrosion modeling in buried transmission pipelines

B Akhlaghi, H Mesghali, M Ehteshami… - Process Safety and …, 2023 - Elsevier
Despite significant efforts and investments in the renewable energy sector, fossil fuels
continue to provide the majority of the world's energy supply. Transmission pipelines, which …

Development of machine learning algorithms for predicting internal corrosion of crude oil and natural gas pipelines

J Fang, X Cheng, H Gai, S Lin, H Lou - Computers & Chemical Engineering, 2023 - Elsevier
Energy industry is losing billions of dollars each year due to corrosion. However, publicly
accessible datasets on pipeline corrosion are limited, making it difficult to accurately predict …