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< Natural Gas and Oil > Editorial Department
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Du Tonglin
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Tang Xiaoyong,Pu Liming
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Issue:ISSN 1006-5539
          CN 51-1183/TE

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    Your Position :Home->Past Journals Catalog->2020 Vol.5

    Development Status of Smart Pipeline System and Discussion on Its Intellectualization in Specific Fields
    Author of the article:Chen Chuansheng1, Li Dan2, Yin Heng1, Wang Panfeng2, Quan Qing2, Wang Shouxi2
    Author's Workplace:1. Sinopec Sichuan to Eastern China Transmission Gas Pipeline Co., Ltd, Wuhan, Hubei, 430000, China; 2. School of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, China
    Key Words:Smart pipeline; Construction index; Prediction and early warning; Algorithm model
    Abstract:

    The rapid development of scientific and technological information technologies, such as big data, artificial intelligence and digital twins, has greatly promoted the transformation and upgrading of the pipeline industry to intellectualization.The digital delivery of digital pipeline construction results based on collaborative construction to the pipeline production and operation system and the digital delivery based on construction and operation data to intelligent applications constitutes management system that meets real-time monitoring of pipeline operations, remote real-time control, independent decision-making, and intelligent prediction and early warning.The sustainability of this intelligent system is conducive to the high-quality development of oil and gas pipelines.In this paper, the concept of smart pipeline and its specific indicators are put forward,and intelligent algorithm models in specific fields of oil and gas pipelines at home and abroad are introduced as well.It is pointed out that the construction of oil and gas pipelines in China is entering the era of intelligence.The theoretical research in related fields is intensive, yet without broad application.In the future, the construction should be aimed at all-round perception, comprehensive prediction, integrated management and adaptive optimization, so as to achieve Smart Pipe Network.

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