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< Natural Gas and Oil > Editorial Department
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China Petroleum Engineering & Construction Corporation Southwest Company
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China Petroleum Engineering & Construction Corporation
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Overseas Research Center of Research Institute of Petroleum Exploration and Development
Editor in Chief:
Du Tonglin
Vice Editor in Chief:
Tang Xiaoyong,Pu Liming
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610041
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Issue:ISSN 1006-5539
          CN 51-1183/TE

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    Your Position :Home->Past Journals Catalog->2020 Vol.3

    Study on Digital Delivery of Intelligent Oil and Gas Fields
    Author of the article:Wang Hongjie
    Author's Workplace:China Petroleum Engineering & Construction Corp. Southwest Company, Chengdu, Sichuan, 610041, China
    Key Words:Horizontal delivery; Vertical delivery; Data ecology; Delivery standards
    Abstract:

    Digital delivery is an inescapable concept in the development of digital business and in the construction of intelligent oil and gas fields.Different oil companies at home and abroad, in the development course of digital oil and gas fields and intelligent oil and gas fields, have different epistemology and methodology to guide their practice.From the perspective of theoretical construction, this concept is in the stage of "widely recognized but lacks a complete definition",and from the current situation of practice, the practice of each unit has been different for some time,the working standard and the standard particle size are both different, which is in the stage of "widely practiced but lacks uniform standard".This situation, which is not conducive to the improvement of industrial level and the development of enterprises themselves, prompts us to seek a concept that is more adaptable to the industry and development and more systematic to guide the actual work.Based on the "Business Chain and Data Chain Architecture Model of Intelligent Oil and Gas Fields" proposed by CPECCSW in 2017, combined with the practice of digital engineering, this paper discusses the principle, concept and function of "digital delivery" in detail, and briefly

    summarizes the main factors that restrict its level of improvement.The data ecology and application ecological construction based on digital delivery are clearly pointed out, and the results will provide theoretical and technical support for the planning and construction of intelligent oil and gas fields.

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