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A comprehensive review of corrosion protection and control techniques for metallic pipelines
Metallic pipelines carrying water and/or oil/gas are exposed to deterioration, leaks/bursts,
and failures due to corrosion. A suitable corrosion protection technique can prevent …
and failures due to corrosion. A suitable corrosion protection technique can prevent …
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 **, 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 …
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …
Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review
AH Khalaf, Y **ao, N Xu, B Wu, H Li, B Lin, Z Nie… - Engineering Failure …, 2024 - Elsevier
Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …
maintenance expenses and productivity losses. Conventional corrosion monitoring …
Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds
This investigation employs a quantum neural network (QNN) synergistically integrated with a
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …
Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors
This paper proposes a quantitative structure–property relationship model (QSPR) based on
machine learning (ML) for a pyrimidine-pyrazole hybrid as a corrosion inhibitor. Based on …
machine learning (ML) for a pyrimidine-pyrazole hybrid as a corrosion inhibitor. Based on …
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 …
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …
[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …
A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective
R Chen, YS Tsay, T Zhang - Energy, 2023 - Elsevier
This research proposed an integrated strategy for building performance optimization from
the whole life cycle perspective to explore the optimal building scheme. After the feature …
the whole life cycle perspective to explore the optimal building scheme. After the feature …
Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning
This paper endeavors to present an in-depth investigation into the corrosion inhibition
efficiency (CIE) of novel triazole derivatives serving as corrosion inhibitors. Among the array …
efficiency (CIE) of novel triazole derivatives serving as corrosion inhibitors. Among the array …
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …
resulting in annual economic losses amounting to billions of dollars. To address these …