中国石油勘探 ›› 2020, Vol. 25 ›› Issue (5): 82-88.DOI: 10.3969/j.issn.1672-7703.2020.05.011

• 工程技术 • 上一篇    下一篇

梦想云数据连环湖建设研究

杨 勇1,2,黄文俊1,2,王铁成1,2,王 华1,2, 孟令培1,2,谭雷军1,2,梁 肖1,2   

  1. 1 中国石油集团东方地球物理勘探有限责任公司;2 北京中油瑞飞信息技术有限责任公司
  • 出版日期:2020-09-14 发布日期:2020-09-12
  • 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”(PetroChina- IT-2017-N104)。

Construction of Data Interlinked Lakes of E&P Dream Cloud

Yang Yong1,2,Huang Wenjun1,2,Wang Tiecheng1,2,Wang Hua1,2,Meng Lingpei1,2,Tan Leijun11,2,Liang Xiao1,2   

  1. 1 BGP Inc., CNPC; 2 Richfi t Information Technology Co., Ltd.
  • Online:2020-09-14 Published:2020-09-12
  • Supported by:
     

摘要: 中国石油信息化在30多年的持续发展中,历经分散建设、集中建设、集成应用3个阶段,正在迈向协 同共享新阶段,努力建成“共享中国石油”。中国石油上游业务板块顺应数字化转型发展需要,针对中国石油上游平 台多、数据库多、孤立应用多的“三多”问题,结合实际业务需求和信息技术发展趋势,对上游业务数据资源体系进 行了系统的研究,对数据的汇聚、存储和应用进行了深入的分析,组织研发了勘探开发梦想云及数据湖技术,并在梦 想云1.0统一数据湖的基础上,提出了逻辑统一、互联互通的集团级主湖和油气田公司级区域湖的数据连环湖设计与 建设方案,通过试点验证,取得了预期效果,为梦想云 2.0数据生态建设提供了有力支撑。

 

关键词: 勘探开发梦想云, 数据连环湖, 数据生态, 数据存储, 共享应用

Abstract: CNPC has been continuously developing its information infrastructure for more than 30 years, going through three stages: decentralized construction, centralized construction, and integrated applications. Now the company is moving forward to a new stage of collaboration and sharing—a “sharing CNPC”. There are “three-multiple” issues in CNPC’s upstream business: multiple platforms, multiple databases, and multiple isolated applications. In order to meet the requirements of digital transformation and development, combining with actual business needs and the general development trend of information technologies, CNPC has created the E&P Dream Cloud and Data Lake technologies. This development required systematic study of the data resource systems of the upstream business and deep analysis of data aggregation, storage, and applications. The Data Interlinked Lakes scheme has been designed and constructed based on the unified Data Lake that is part of Dream Cloud v1.0. The structure of this scheme includes a group-level main data lake and individual data lakes for each regional oil and gas field company, all of which are logically unified and interconnected. Pilot verification of the system achieved the expected results, providing strong support for the construction of a new data eco-environment: Dream Cloud v2.0.

Key words: E&, P Dream Cloud, Data Interlinked Lakes, data eco-environment, data storage, shared application

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