Study on Safety Assessment of City Gas Pipelines

ICPTT 2011 ◽  
2011 ◽  
Author(s):  
Xuan Wang
2012 ◽  
Vol 19 (8) ◽  
pp. 2373-2379 ◽  
Author(s):  
Zhi-gang Chen ◽  
Xiang-jiao Lian ◽  
Liang He

2014 ◽  
Vol 697 ◽  
pp. 429-433 ◽  
Author(s):  
Zhi Gang Chen ◽  
Xin Rong Zhong ◽  
Yi Dong Xie

For reasons of low accuracy of traditional leakage, a pipeline leakage diagnosis method based on multi-weight neural networks is presented to recognized leak signal in city gas pipelines. By using analysis and modeling a multi-weight neural networks are established at normal node to simplify network structure. The Information entropy of leakage characteristic parameters of negative pressure wave was used as input eigenvector respectively for primary diagnosis. It has been applied for leakage diagnosis in city gas pipelines with the whole computational process done by a computer. Results of simulation and tests show that this method has its advantage in dealing with multi-coupled fault situations and is featured by a high probability of accuracy, which not only proves the method to be effective, but also provides a theoretical basis and a new way for leak diagnosis of other pipelines.


2018 ◽  
Vol 11 (1) ◽  
pp. 153 ◽  
Author(s):  
Peng Zhang ◽  
Guojin Qin ◽  
Yihuan Wang

In the transportation process of urban gas pipelines, there are various uncontrollable risks and uncertainties possibly leading to the failure of gas pipelines and thereby serious consequences, such as city gas shutdown, nearby casualties, and environmental pollution. To avoid these hazards, numerous studies have been performed in identifying and evaluating the occurrence of risks and uncertainties to pipelines. However, discussions on risk reduction and other maintenance work are scarce; therefore, a scientific method to guide decision making is non-existent, thereby resulting in excessive investment in maintenance and reduced maintenance cost of other infrastructures. Therefore, the as low as reasonably practicable (ALARP) principle combined with optimization theory is used to discuss pipeline maintenance decision-making methods in unacceptable regions and ALARP regions. This paper focuses on the analysis of pipeline risk reduction in the ALARP region and proposes three optimization decision models. The case study shows that maintenance decision making should consider the comprehensive impact of maintenance cost to reduce risk and loss cost caused by pipeline failure, and that the further cost–benefit analysis of measures should be performed. The proposed pipeline maintenance decision-making method is an economical method for pipeline operators to make risk decisions under the premise of pipeline safety, which can improve the effectiveness of the use of maintenance resources.


2020 ◽  
Vol 102 ◽  
pp. 103448
Author(s):  
Nan Jiang ◽  
Bin Zhu ◽  
Xu He ◽  
Chuanbo Zhou ◽  
Xuedong Luo ◽  
...  

Author(s):  
Ashutosh S. Dhar ◽  
Munaz A. Noor ◽  
Tahsin R. Hossain ◽  
Salek M. Seraj ◽  
Md. S. Hoque ◽  
...  

2019 ◽  
Vol 20 ◽  
pp. 230-235
Author(s):  
S.A. Tikhonova ◽  
T.A. Kapitonova ◽  
G.P. Struchkova

2015 ◽  
Vol 1111 ◽  
pp. 163-168
Author(s):  
Alexandru Pintilie ◽  
Melat Bormambet ◽  
Viorel Bogdan Rădoiu

In this paper is presented a study of stresses and strains due ramification to consumers of main gas pipeline. It's numerically analyzed the influence of main pipe's ramification due to modification of mechanical and geometrical parameters. Modeled loads are based on evaluation of internal forces of thin shell and induced loads by circular weld thermal field. The study of stresses and strain it's made using finite elements method by a static tri dimensional analysis performed both for evaluation of stresses and strains in presence and absence of internal pressure. The obtained results represent a comparative factor for technical regulation in the safety assessment in operation of natural gas pipelines.


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