In the offshore natural gas pipeline transportation system, since the gathering and transportation pipeline system runs long time, wet natural gas gathering pipeline has been seriously corroded. The failure leakage accidents happen frequently, which cause great loss to the nation's economy and people's lives and property. Therefore, the corrosion research of the wet natural gas pipeline system has been a hot topic in recent years. There are no relevant standards or evaluation methods. The risk assessment of gathering and the transportation pipeline system face many problems. Based on the gray support vector machine, the paper starts from the gray relevant analysis, analyzes and researches the corrosion inspection data of the known gathering pipeline, establishes the corrosion rate prediction model of the wet natural gas gathering and transportation pipeline, and whose calculation results fit the actual value well compared with existing methods, which improves the prediction accuracy to some extent. It provides a new thought for the risk assessment, risk management, and maintenance research of the wet natural gas gathering and transportation pipeline, also has reference value for the quantitative assessment and integrity management of other long-distance oil and gas pipeline.


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    Titel :

    Corrosion Research of Wet Natural Gathering and Transportation Pipeline Based on SVM


    Beteiligte:
    Luo, Zhengshan (Autor:in) / Hu, Xiaoli (Autor:in) / Gao, Yang (Autor:in)

    Kongress:

    International Conference on Pipelines and Trenchless Technology ; 2013 ; Xi'an, China


    Erschienen in:

    ICPTT 2013 ; 964-972


    Erscheinungsdatum :

    01.10.2013




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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