中国石油勘探 ›› 2020, Vol. 25 ›› Issue (1): 58-66.DOI: 10.3969/j.issn.1672-7703.2020.01.006

• 勘探管理 • 上一篇    下一篇

中国石油勘探开发梦想云研究与实践

杜金虎1, 时付更2, 张仲宏1, 王铁成3, 丁建宇1   

  1. 1 中国石油勘探与生产分公司;
    2 中国石油勘探开发研究院;
    3 北京中油瑞飞信息技术有限责任公司
  • 收稿日期:2019-12-06 修回日期:2019-12-20 出版日期:2020-01-15 发布日期:2019-12-31
  • 基金资助:
    中国石油天然气股份有限公司投资信息化重点项目“勘探开发一体化协同研究及应用平台(一期)建设”。

Research and practice of Dream Cloud for petroleum exploration and development of PetroChina

Du Jinhu1, Shi Fugeng2, Zhang Zhonghong1, Wang Tiecheng3, Ding Jianyu1   

  1. 1 PetroChina Exploration & Production Company;
    2 PetroChina Research Institute of Petroleum Exploration & Development;
    3 CNPC Beijing Richfit Information Technology Co., Ltd
  • Received:2019-12-06 Revised:2019-12-20 Online:2020-01-15 Published:2019-12-31
  • Supported by:
     

摘要: 随着物联网、云计算、大数据和人工智能技术的规模应用,信息化发展进入智能共享新时代。研究和建设统一的数字化智能化平台,加快数字化智能化转型,高效灵活应对业务需求变化,成为勘探开发信息化的当务之急。文章旨在讨论所涉及的相关问题,分析了勘探开发梦想云研究的背景和意义,介绍了梦想云的基本原理和总体设计方案,阐述了梦想云平台、数据连环湖、数据中台能力、应用商店、人工智能应用等关键技术研究,总结了梦想云平台、数据连环湖和一系列通用应用建设成果和应用场景案例。

 

关键词: 梦想云平台, 数据连环湖, 数据中台能力, 应用商店, 人工智能应用

Abstract: With the scale application of the Internet of Things, and the rapid expansion of cloud computing, big data and artificial intelligence technology, the development of information technology has entered a new era of intelligence sharing. The study and construction of a unified digital and intelligent platform, acceleration of the transformation of digitalization and intelligence, and reacting to changes in business requirements efficiently and flexibly, have become urgent tasks for the informatization of exploration and development. The purpose of this paper is to discuss the issues involved, analyze the background and significance of research on PetroChina’s ‘Dream Cloud’ system for exploration and development, introduce the basic principles and overall design scheme of Dream Cloud, elaborate key technical research topics such as the Dream Cloud platform, data link lake, capability of data middle platform, application store, artificial intelligence application, etc., and also summarize construction achievements and application scenario cases of the Dream Cloud platform, data link lake and a series of associated general applications.

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