[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review

AM Al-Sabaeei, H Alhussian, SJ Abdulkadir… - Energy Reports, 2023 - Elsevier
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 …

Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction

U Sarwar, AA Mokhtar, M Muhammad… - Engineering …, 2024 - Taylor & Francis
Pipelines are crucial for transporting energy sources, yet corrosion especially stress
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 …

A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

NB Shaik, K Jongkittinarukorn, W Benjapolakul… - Scientific Reports, 2024 - nature.com
Dry gas pipelines can encounter various operational, technical, and environmental issues,
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 …

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 …

[HTML][HTML] XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine

NB Shaik, K Jongkittinarukorn, K Bingi - Case Studies in Chemical and …, 2024 - Elsevier
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 …

[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 …

ANN-RSM based multi-parametric optimisation and modelling of H2 and syngas from co-gasification of residues from oil palm plants

HA Umar, NB Shaik, M Inayat, SA Sulaiman - Process Safety and …, 2024 - Elsevier
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 …

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 …