The sustainable and reliable supply of natural gas has become a critical global worry about economic, political, and technological causes because of the realization of the significance of networks of natural gas pipeline for energy security. However, a number of variables, including stochastic demand fluctuations, unexpected changes in supply capacity, and random pipeline failures, affect the oil and gas pipeline network’s supply capacity. People must therefore evaluate supply security from a probabilistic rather than deterministic standpoint. This chapter introduces a methodical approach for evaluating natural gas pipeline networks’ supply reliability. The created technique combines stochastic processes, graph theory, and thermal–hydraulic modeling while taking complexity and uncertainty into consideration. The case study shows that a network of gas pipelines is taken into account, and the outcomes are thoroughly studied.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Probabilistic Safety Analysis in Complex Pipeline Systems


    Contributors:
    Su, Huai (editor) / Liao, Qi (editor) / Zhang, Haoran (editor) / Zio, Enrico (editor) / Yang, Zhaoming (author) / Su, Huai (author)

    Published in:

    Publication date :

    2023-12-13


    Size :

    19 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Probabilistic Safety Risk Analysis in Complex Domains: Application to Unmanned Aircraft Systems

    Luxhoj, J. / Morton, M. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2011



    Probabilistic Pipeline Burial Analysis for Protection against Ice Scour

    King, T. / Phillips, R. / Barrett, J. | British Library Conference Proceedings | 2008


    Probabilistic modeling of corroded pipeline structures

    Brennan, D.P. / Akpan, U.O. / Orisamolu, I.R. et al. | Tema Archive | 2002


    Safety Verification for Probabilistic Hybrid Systems

    Zhang, L. / She, Z. / Ratschan, S. et al. | British Library Online Contents | 2012