中国石油勘探 ›› 2020, Vol. 25 ›› Issue (5): 9-14.DOI: 10.3969/j.issn.1672-7703.2020.05.002

• 勘探管理 • 上一篇    下一篇

梦想云在油气精益生产管理中的应用

时付更,王洪亮,孙 瑶,陈新燕   

  1. 中国石油勘探开发研究院
  • 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“油气水井生产数据管理系统(A2)2.0”(PetroChina-IT-2012-N108), “勘探开发一体化协同研究及应用平台(一期)建设”(PetroChina-IT-2017-N104)。

Application of E&P Dream Cloud in oil and gas lean production management

Shi Fugeng, Wang Hongliang, Sun Yao, Chen Xinyan   

  1. PetroChina Research Institute of Petroleum Exploration & Development
  • Online:2020-09-14 Published:2020-09-12
  • Supported by:
     

摘要: 勘探开发梦想云平台是中国石油上游业务信息化共享平台。油气水井生产数据管理系统(A2系统)作 为中国石油上游信息化统建项目核心应用之一得到了广泛应用,但在海量数据查询检索效率及数据综合分析应用方面 存在诸多不足。基于梦想云平台的开放性和可扩展性,对A2系统进行云化升级改造,实现了对全部油气水井生产数 据采集、处理、统计、存储、上报、发布一体化协同管理。在此基础上,以油气精益生产管理为目标,建立数据治理 跟踪和评价标准,开展生产数据跟踪评价、产能建设评价、低产井和长停井分析等应用研究工作,为战略规划研究提 供数据支撑。

 

关键词: 梦想云平台, 数据湖, 油气水井, 精益生产, 微服务

Abstract: The E&P Dream Cloud platform is an information sharing platform for the upstream business of PetroChina. One of the core, and most widely used, applications of upstream informatization is the Oil-Gas-Water Well Production Data Management System, known as the A2 system. However, the system contains massive volumes of data with the result that querying, retrieval, and data analysis are still somewhat inefficient. The openness and scalability of the E&P Dream Cloud platform has allowed the A2 system to be upgraded and transformed into a cloud system to enable integrated collaborative management of the collection, processing, storage, statistical analysis, reporting, and publishing of production data from all of the company’s oil, gas, and water wells. With the goal of lean oil and gas production management, data management tracking and evaluation standards have been introduced and application research work has been carried out. This includes production data tracking and evaluation, productivity construction evaluation, and analysis of stripper wells and long-term shutdown wells, all of which provide data support for strategic planning research.

Key words: E&, P Dream Cloud platform, Data Lake, oil-gas-water wells, lean production, microservices

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