Simulation of flow characteristics for leak detection in oil and gas pipeline network

2021 ◽  
Author(s):  
B. Manshoor ◽  
A. Khalid ◽  
I. Zaman ◽  
D. Hissein Didane ◽  
N. F. F. Zulkefli
Keyword(s):  
Oil And Gas ◽  
Flow Characteristics ◽  
Leak Detection ◽  
Gas Pipeline ◽  
Pipeline Network

Central Asia's Oil and Gas Pipeline Network: Current and Future Flows

1994 ◽  
Vol 35 (7) ◽  
pp. 412-430 ◽  
Author(s):  
James P. Dorian ◽  
Ian Sheffield Rosi ◽  
S. Tony Indriyanto
Keyword(s):  
Oil And Gas ◽  
Gas Pipeline ◽  
Pipeline Network

Network performance optimisation using triple interleaving routing algorithm for oil and gas pipeline network

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
FARAH SHAHNAZ FEROZ ◽  
SIVA KUMAR SUBRAMANIAM ◽  
MOHAMAD YUSRY L.E.E. IKHWAN LEE ◽  
AMIERUL SYAZRUL AZRIL AZMAN
Keyword(s):  
Network Performance ◽  
Oil And Gas ◽  
Routing Algorithm ◽  
Gas Pipeline ◽  
Pipeline Network

The New CSA Standard for Leak Detection

2010 ◽  
Author(s):  
Don Scott ◽  
Ulli Pietsch
Keyword(s):  
Oil And Gas ◽  
Task Force ◽  
Detection System ◽  
Leak Detection ◽  
Liquid Hydrocarbon ◽  
Technical Committee ◽  
Gas Pipeline ◽  
Current Technology ◽  
The Us ◽  
Pipeline Systems

Standards and Recommended Practices require periodic updating so they represent current technology and industry practices. Canadian Standards Association (CSA) Z662 “Oil and Gas Pipeline Systems” contains Annex E that covers software-based leak detection for liquid hydrocarbon pipelines. The CSA Technical Committee determined that is was time to update Annex E. A Task Force of industry experts and regulators met over a period of 18 month to draft a new Annex E. This paper outlines some of the significant features of the new Annex and where possible does a comparison with the similar section in American Petroleum Institute’s API 1130 which covers recommended practice for software based leak detection in the US. A pipeline operator should consider using both Annex E and API 1130 in the implementation and use of a software-based leak detection system. The CSA Task Force did not want to copy and modify API 1130 to provide a new Annex E, so both documents provide necessary information.

scholarly journals A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network

2019 ◽  
Vol 16 (2) ◽  
pp. 458-468 ◽  
Author(s):  
Yamin Yan ◽  
Yongtu Liang ◽  
Haoran Zhang ◽  
Wan Zhang ◽  
Huixia Feng ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Oil And Gas ◽  
Optimization Method ◽  
Gas Pipeline ◽  
Two Stage ◽  
Pipeline Network ◽  
Vehicle Inspection ◽  
Aerial Vehicle

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

2018 ◽  
Author(s):  
Yamin Yan ◽  
Haoran Zhang ◽  
Wan Zhang ◽  
Bohong Wang ◽  
Qi Liao ◽  
...  
Keyword(s):  
Large Scale ◽  
Oil And Gas ◽  
Programming Model ◽  
Three Dimensional ◽  
Economic Benefits ◽  
Gas Pipeline ◽  
Inspection Time ◽  
Pipeline Network ◽  
Pipeline Networks ◽  
Vehicle Inspection

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 incidents and the effects on the environment. Traditional manpower inspection is extremely labor-intensive and inefficient. Through the use of UAV (unmanned aerial vehicle) inspection, it is possible to greatly increase efficiencies by reducing the amount of manpower and resources required by traditional inspection methods. The integrated optimization for UAV inspection path of oil and gas pipeline networks, including physical feasibility, performance of mission, cooperation, real-time implementation, three-dimensional (3-D) space, et al, is a strategic problem due to its large-scale and complexity. Aimed at improving inspection efficiency and maximizing economic benefits, this paper proposes a novel mix-integer linear programming model which could be used for inspection path planning. Minimizing the total inspection time is the objective function of this model. The constraints of the mission scenario and the safety performance of UAV are taken into account. By using evolutionary genetic algorithm, each candidate route can be measured through the evaluation function that takes into account the cost of the route, the mission scenario as well as the cooperative and coordinative requirements among the unmanned aerial vehicles constraints. Finally, the proposed approach is applied to a virtual oil and gas pipeline network. Compared with the traditional inspection approach, the proposed method is 66.48% less in inspection cost and 22.07% shorter in total inspection time, verifying the rationality and superiority of the model.

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