[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 …

[HTML][HTML] A comparative study of burst failure models for assessing remaining strength of corroded pipelines

XK Zhu - Journal of Pipeline Science and Engineering, 2021 - Elsevier
This paper performs a comparative study of remaining strength assessment models for
corroded pipelines. A brief review of burst prediction models is first given for defect-free …

Text mining of accident reports using semi-supervised keyword extraction and topic modeling

A Ahadh, GV Binish, R Srinivasan - Process safety and environmental …, 2021 - Elsevier
Learning from past incidents is critical to achieving and maintaining high process safety
performance. Accident and incident records provide one way for learning; however, these …

An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines

H Lu, T Iseley, J Matthews, W Liao, M Azimi - Journal of Petroleum Science …, 2021 - Elsevier
Burst pressure is the key to the design of pressure pipelines, and its accurate prediction is of
considerable significance to pipeline safety and integrity management. Due to the different …

Improved carbon steel corrosion characteristics in static and hydrodynamic HCl media by two novel N2O2 ligands: experimental and theoretical studies

S Karimi, M Rezaeivala, M Mokhtare, G Tuzun… - Journal of the Taiwan …, 2023 - Elsevier
Background Expanding the use of carbon steel in various industrial operations is always
associated with challenges due to many engineering factors in the selection of materials …

Developments of leak detection, diagnostics, and prediction algorithms in multiphase flows

SK Vandrangi, TA Lemma, SM Mujtaba… - Chemical Engineering …, 2022 - Elsevier
Leak detection, diagnostics, and prediction constitute a crucial phase of the flow assurance
risk management process for onshore and offshore pipelines. There are a variety of …

High‐efficiency low‐resistance oil‐mist coalescence filtration using fibrous filters with thickness‐direction asymmetric wettability

X Wei, H Zhou, F Chen, H Wang, Z Ji… - Advanced Functional …, 2019 - Wiley Online Library
Conventional aerosol filters typically have homogeneous wettability with limited filtration
ability especially for small oil mists. Increasing filtration efficiency using thicker filter pad or …

Reliability analysis based on hybrid algorithm of M5 model tree and Monte Carlo simulation for corroded pipelines: Case of study X60 Steel grade pipes

MAB Seghier, B Keshtegar, JAFO Correia… - Engineering Failure …, 2019 - Elsevier
In this paper, the failure probability of corroded pipelines made by X60 steel grade is
evaluated. For this complex real engineering failure problem, the burst corroded …

Zigbee and long-range architecture based monitoring system for oil pipeline monitoring with the internet of things

R Singh, M Baz, CL Narayana, M Rashid, A Gehlot… - Sustainability, 2021 - mdpi.com
Oil pipeline monitoring is having a significant role in minimizing the impact on the
environment and humans during pipeline accidents. The real-time monitoring of oil pipelines …

[PDF][PDF] Failure pressure prediction of pipeline with single corrosion defect using artificial neural network

KT Chin, T Arumugam, S Karuppanan… - Pipeline Sci …, 2020 - scholar.archive.org
This paper describes the development and application of artificial neural network (ANN) to
predict the failure pressure of single corrosion affected pipes subjected to internal pressure …