中国石油勘探 ›› 2020, Vol. 25 ›› Issue (5): 50-55.DOI: 10.3969/j.issn.1672-7703.2020.05.007

• 石油地质 • 上一篇    下一篇

塔里木油田梦想云协同研究应用与展望

罗彩明,唐雁刚,屈 洋,曾昌民,王佐涛,娄 洪,冯 磊   

  1. 中国石油塔里木油田公司
  • 出版日期:2020-09-14 发布日期:2020-09-12
  • 基金资助:
    国家重点研发计划课题“塔里木盆地盐下超深层油气分布规律及有利勘探区带评价”(2019YFC0605505)。

Application and prospects of collaborative research on E&P Dream Cloud in the Tarim Oilfield

Luo Caiming, Tang Yangang, Qu Yang, Zeng Changmin, Wang Zuotao, Lou Hong, Feng Lei   

  1. PetroChina Tarim Oilfi eld Company
  • Online:2020-09-14 Published:2020-09-12
  • Supported by:
     

摘要: 在国家要求加快信息化建设的大环境下,中国石油提出了“共享中国石油”发展战略。自中国石油勘探 开发梦想云发布以来,油田信息化建设快速发展,为提升协同研究效率和管理水平,围绕石油勘探上游业务,按照统 一技术平台,统一数据库的要求,塔里木油田基于梦想云平台,完成了油田区域湖建设,搭建了风险勘探协同研究环 境,实现了勘探开发、经营生产的协同管理。结合塔里木盆地油气勘探特点,研发了圈闭管理模块,实现圈闭线上申 报、成果快捷查询、成果在线浏览、三级管理审核。基于前期成功应用,从生产动态实时掌控、项目全生命周期管理、 数据全方位跟踪查询、研究对象智能识别、业务应用模块化集成、多学科成果一体化展示6个方面对梦想云未来的发 展提出畅想,并给出了具体的建议。

 

关键词: 梦想云, 协同研究, 油气勘探, 圈闭管理

Abstract: In accordance with the government’s policy to accelerate informatization in China, PetroChina has adopted a strategy of “sharing PetroChina”. Since the launch of the E&P Dream Cloud platform, informatization in PetroChina’s oilfields has progressed rapidly. The Tarim Oilfield Company has constructed a regional Data Lake for the oilfield, based on the E&P Dream Cloud platform, to improve the efficiency and management of collaborative research, focusing on the upstream petroleum exploration business. The system meets the requirements for a unified technology platform and unified database, creates a collaborative research environment for risk exploration, and facilitates collaborative management of exploration, development, operations, and production in the oilfield. The trap management module in the system was developed to enable online reporting of traps, fast querying of existing results, online browsing, and three-level management and review. Drawing on successful early application of the system, this paper offers ideas and specific suggestions for the future development of the E&P Dream Cloud. Six aspects are discussed: real-time control of production performance, whole life cycle management of projects, all-round data tracking and querying, intelligent identification of research objects, modular integration of business applications, and integrated display of multi-disciplinary achievements.

Key words: E&, P Dream Cloud, collaborative research, oil and gas exploration, trap management

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