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A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines

Structure and Infrastructure Engineering, 2015
AbstractSafety assessment of oil and gas (O&G) pipelines is necessary to prevent unwanted events that may cause catastrophic accidents and heavy financial losses. This study develops a safety assessment model for O&G pipeline failure by incorporating fuzzy logic into Bayesian belief network.
Golam Kabir   +2 more
openaire   +1 more source

Neural-Network Prediction of Damage to Accident-Prone Sections of Oil and Gas Pipelines

Russian Engineering Research, 2021
The prediction of possible damage due to accidents on linear sections of oil and gas pipelines is considered. In the proposed mathematical model, the total economic loss includes components associated with damage to the pipeline itself, gas or oil leaks, and environmental pollution.
A. A. Burdina, A. A. Nekhrest-Bobkova
openaire   +1 more source

An efficient oil and gas pipeline monitoring systems based on wireless sensor networks

2012 International Conference on Information Security and Intelligent Control, 2012
Wireless sensor networks (WSN) is considered an effective technique to collect oil and gas transmission pipeline information. The studies that use conventional technologies (such as GPRS, microwave, radio modem and cables etc.) to collect these pipelines state information have the disadvantages of high cost of system maintenance and long data packet ...
Huaping Yu, Mei Guo
openaire   +1 more source

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

International Journal of Emerging Technology and Advanced Engineering, 2023
The pipeline is one of the main modes oftransportation for the oil and gas industry that could be laid offshore and onshore. Pipeline transportation requires close monitoring as a failure in pipelines causes disruption of supply, loss of precious commodities and not to mention irreversible environmental damage will be an essential topic.
R. Ashvin A L Rajamohan   +3 more
openaire   +1 more source

An intelligent optimization method for oil-gas gathering and transportation pipeline network layout

2016 Chinese Control and Decision Conference (CCDC), 2016
Gathering and transferring pipeline network of oil-gas system exerts remarkable impact on construction cost for whole oilfield engineering. In this paper, hierarchical optimization strategy is used to optimize the Multilevel Star-Tree Style of oil-gas gathering and transportation network.
Qiang Liu, Li Mao, Fangfang Li
openaire   +1 more source

Data Prediction Algorithm in Wireless Sensor Networks for Oil and Gas Pipeline Monitoring

Applied Mechanics and Materials, 2014
Energy efficient problem of wireless sensor networks for oil and gas pipeline systems is a fundamental problem, and furthermore, data prediction algorithm can effectively reduce the communication energy consumption of WSNs. This paper firstly analyzes existing common data prediction algorithms and the data characteristics of oil and gas pipelines ...
Hua Ping Yu, Mei Guo
openaire   +1 more source

Predicting the Residual Strength of Oil and Gas Pipelines Using the GA-BP Neural Network

Recent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering)
Background: Most NN (neural network) research only conducted qualitative analysis, analyzing its accuracy, with certain limitations, without studying its NN model, error convergence process, and pressure ratio. There is relatively limited research on the application of NN optimized by GA (genetic algorithm) to oil and gas pipelines; Moreover, the ...
Zhanhui Wang   +4 more
openaire   +1 more source

An Optimization Model for UAV Inspection Path of Oil and Gas Pipeline Network

Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, 2018
Currently, the oil and gas pipeline network is a key link in the coordinated development of oil and gas upstream and downstream cohesion. To ensure the reliability and safety of oil and gas pipeline network operation, it is necessary to inspect the pipeline periodically to minimize the risk of leakage, spill and theft, as well as documenting actual ...
Yamin Yan   +5 more
openaire   +1 more source

Robust pressure prediction of oil and gas pipeline networks based on equipment embedding neural network

Physics of Fluids
Currently, extensive pipeline networks are developed in response to the demands of the oil and gas industry. The accurate estimation of the hydraulic condition of pipeline networks holds significant importance in the fields of pipeline design and safety management.
Wei-xin Jiang   +4 more
openaire   +1 more source

Optimal Artificial Neural Network Model For Prediction of Oil and Gas Pipelines Defect Length

2020 International Conference on Computational Science and Computational Intelligence (CSCI), 2020
Magnetic flux leakage (MFL) signals are used for estimating not only the size, but also the shape of the faults causes by deteriorating metal that makes the oil and gas pipelines. Such defects, such as rust, which, if left undetected and poorly handled, may have devastating effects, both in terms of environmental degradation and loss of life, and also ...
Huda Aldosari   +2 more
openaire   +1 more source

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