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[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 …
Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction
Pipelines are crucial for transporting energy sources, yet corrosion especially stress
corrosion cracking (SCC) poses a complex and potentially catastrophic form of material …
corrosion cracking (SCC) poses a complex and potentially catastrophic form of material …
[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 …
continue to provide the majority of the world's energy supply. Transmission pipelines, which …
A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters
Dry gas pipelines can encounter various operational, technical, and environmental issues,
such as corrosion, leaks, spills, restrictions, and cyber threats. To address these difficulties …
such as corrosion, leaks, spills, restrictions, and cyber threats. To address these difficulties …
An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning
K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
A stochastic model for RUL prediction of subsea pipeline subject to corrosion-fatigue degradation
Z Han, X Li, G Chen - Process Safety and Environmental Protection, 2023 - Elsevier
A robust model based on stochastic processes with Copula function is developed for
remaining useful life (RUL) prediction of subsea pipeline subject to corrosion-fatigue …
remaining useful life (RUL) prediction of subsea pipeline subject to corrosion-fatigue …
[HTML][HTML] XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine
This work extensively develops and evaluates an XGBoost model for predictive analysis of
gas turbine performance. The goal is to construct a robust prediction model by utilizing …
gas turbine performance. The goal is to construct a robust prediction model by utilizing …
[HTML][HTML] Factors affecting extended avalanche destructions on long-distance gas pipe lines
N Zhangabay, U Ibraimova, U Suleimenov… - Case Studies in …, 2023 - Elsevier
Avalanche destructions in long-distance gas pipe lines are of great importance in the
uninterrupted transport of commercial gas on an international and national scale in the …
uninterrupted transport of commercial gas on an international and national scale in the …
ANN-RSM based multi-parametric optimisation and modelling of H2 and syngas from co-gasification of residues from oil palm plants
Despite their abundance, lignocellulose biomass co-gasification studies especially that of oil
palm biomass are scarcely reported. In this study, the frond and trunk of the oil palm tree are …
palm biomass are scarcely reported. In this study, the frond and trunk of the oil palm tree are …
GTFE-Net-BiLSTM-AM: An intelligent feature recognition method for natural gas pipelines
L Wang, C Hu, T Ma, Z Yang, W Guo, Z Mao… - Gas Science and …, 2024 - Elsevier
The recognition of pipeline features contributes to its safe management by preventing
severe consequences such as leakage resulting from bending deformation and denting …
severe consequences such as leakage resulting from bending deformation and denting …