中国石油勘探 ›› 2020, Vol. 25 ›› Issue (5): 15-22.DOI: 10.3969/j.issn.1672-7703.2020.05.003

• 勘探管理 • 上一篇    下一篇

基于梦想云的油气藏协同研究环境构建与应用

石玉江1,王 娟2,魏红芳2,杨 倬2,王红伟2,姚卫华2   

  1. 1 中国石油长庆油田公司数字化与信息管理部;2 中国石油长庆油田公司勘探开发研究院
  • 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 and application of collaborative environment for oil and gas reservoir research based on E&P Dream Cloud

Shi Yujiang1,Wang Juan2,Wei Hongfang2,Yang Zhuo2, Wang Hongwei2,Yao Weihua2   

  1. 1 Digitalization and Information Management Department, PetroChina Changqing Oilfi eld Company; 2 Research Institute of Petroleum Exploration and Development, PetroChina Changqing Oilfi eld Company
  • Online:2020-09-14 Published:2020-09-12
  • Supported by:
     

摘要: 油气藏研究涉及多学科、多类型数据及多专业研究成果,多学科一体化协同研究成为必然趋势。为了给 科研人员提供一体化协同共享的油气藏研究工作环境,基于勘探开发梦想云平台,在盆地级区域数据湖建设的基础上, 构建了包含油气藏研究项目数据组织与快速查询、专业软件集成应用、在线辅助分析工具及项目全过程管理的项目工 作室,并应用于鄂尔多斯盆地风险勘探项目的研究与管理。基于梦想云的油气藏协同研究环境的构建,实现了油气藏 研究数据、软件、成果之间的有效共享与协同工作,全面支撑了油气田勘探开发业务工作,大幅提升了科研工作的质 量和效率。

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关键词: 勘探开发梦想云, 区域数据湖, 协同研究环境, 项目工作室

Abstract: Research on oil and gas reservoirs involves many different disciplines and multiple data types, and requires input of research results from many fields. Multi-disciplinary collaborative research has therefore become an essential and growing trend. In order to provide researchers with an integrated, collaborative and sharing working environment for oil and gas reservoir research, project studio for different research objectives has been constructed, which is on the basis of the E&P Dream Cloud platform and basin-level regional Data Lake structure. It incorporates centralized and standardized data organization, fast querying, integrated application of business software, online auxiliary analysis tools, and whole process management of oil and gas reservoir research projects. The results have been applied to research and risk management of exploration projects in the Ordos Basin. The construction of collaborative research environment, based on E&P Dream Cloud, achieves effective sharing of data, software and research results, and facilitates collaborative working in oil and gas reservoir research, providing supports for the exploration and development business of oil and gas fields and greatly improving the quality and efficiency of scientific research work.

Key words: E&, P Dream Cloud, regional Data Lake, collaborative research environment, project studio

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