[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 …
[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 …
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 …
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
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 …
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
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 …
associated with challenges due to many engineering factors in the selection of materials …
Developments of leak detection, diagnostics, and prediction algorithms in multiphase flows
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 …
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
Conventional aerosol filters typically have homogeneous wettability with limited filtration
ability especially for small oil mists. Increasing filtration efficiency using thicker filter pad or …
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
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 …
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
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 …
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 …
predict the failure pressure of single corrosion affected pipes subjected to internal pressure …