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A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines
Structure and Infrastructure Engineering, 2015AbstractSafety 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
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An Optimization Model for UAV Inspection Path of Oil and Gas Pipeline Network
Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, 2018Currently, 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
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Central Asia's Oil and Gas Pipeline Network: Current and Future Flows
Post-Soviet Geography, 1994Substantial quantities of oil and gas lie beneath the surface of Central Asia and neighboring countries. Yet until viable export routes are established, much of the hydrocarbon base will remain undeveloped. Several new pipeline projects today are under consideration to facilitate trade, involving largely the transport of oil and gas from Kazakhstan ...
James P. Dorian +2 more
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Neural-Network Prediction of Damage to Accident-Prone Sections of Oil and Gas Pipelines
Russian Engineering Research, 2021The 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
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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
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Artificial neural network models for predicting condition of offshore oil and gas pipelines
Automation in Construction, 2014Abstract Pipelines daily transport and distribute huge amounts of oil and gas across the world. They are considered the safest method of transporting oil and gas because of their limited number of failures. However, pipelines are subject to deterioration and degradation.
Mohammed S. El-Abbasy +4 more
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An intelligent optimization method for oil-gas gathering and transportation pipeline network layout
2016 Chinese Control and Decision Conference (CCDC), 2016Gathering 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
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Oil and Gas Pipeline Monitoring Through Magneto-Coupled Wireless Sensor Network
OCEANS 2019 - Marseille, 2019Offshore pipelines are laid on the seabed to extract oil and gas. Deployment of wireless sensor network and micro-sensing within these pipelines promise wide range of applications, however wireless communication offers significant challenges through fluids.
Niaz Ahmed +5 more
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An efficient oil and gas pipeline monitoring systems based on wireless sensor networks
2012 International Conference on Information Security and Intelligent Control, 2012Wireless 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
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Data Prediction Algorithm in Wireless Sensor Networks for Oil and Gas Pipeline Monitoring
Applied Mechanics and Materials, 2014Energy 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
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