Petroleum Science and Technology Forum ›› 2015, Vol. 34 ›› Issue (3): 45-50.DOI: 10.3969/j.issn.1002-302x.2015.03.009

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New Progress in Construction of Dagang Digital Oilfield

Liu Zhizhong, Yang Jie, Wang Cunpei, HouJinli, Shang Zhenge, Sun Quan   

  1. (Information Center of PetroChina Dagang Oilfield Company, Tianjin 300280, China)
  • Online:2015-06-25 Published:2015-08-07
  • Supported by:
    天津市工业和信息化委员会2015年天津市企业创新项目计划“勘探开发协同研究云建设与应用”、“油气生产物联网系统建设与应用”[津工科(2015)2号文件]。

大港数字油田建设新进展

刘志忠,杨 杰,王存蓓,候锦丽,商振阁,孙 全   

  1. 中国石油大港油田公司信息中心
  • 基金资助:
    天津市工业和信息化委员会2015年天津市企业创新项目计划“勘探开发协同研究云建设与应用”、“油气生产物联网系统建设与应用”[津工科(2015)2号文件]。

Abstract: Progress in information technology, such as IOT, cloud computing and large data, plays a great role in construction of digital oilfield. Inclusion of exploration and development data into assets management becomes an important production element of oil and gas enterprises while application of large data is an important way for search of oil and gas resources, optimization of production and improvement of decision-making efficiency. The surface optimized and simplified work is represented by “Gangxi Pattern.”Namely, construction of surface engineering standardization is integrated into oil and gas production IOT system represented by digitalization of oil and water wells, digitalization of pipelines and digitalization of stations and storage depots. Those measures fully improve surface engineering construction of old oilfields, exerting enormous effects on conversion of production mode, optimization of labor organization, improvement of productivity and reduction of safety risks. With cloud computing conception adopted and harmonious research cloud of exploration and development established, application service with integration of hardware, software, project data and management of achievement is provided for researchers to help their research work of seismic interpretation, geological modeling and numerical simulation. The efforts are made for construction of digital oilfields focusing on optimization of cloud computing pattern, popularization of IOT technology and study of large data analyzing technology. Those measures are aimed at promoting development of intelligent oilfields and improving creativeness of integrated exploration and development, on-the-site intelligent controlling capacity of oil and gas production and production business analyzing and decision-making capacity, laying a solid foundation for the company’s sustainable development.

 

摘要: 近年来以物联网、云计算、大数据为代表的信息技术进步对于推进数字油田建设发挥了巨大作用。实现资产化管理的勘探开发数据成为油气田企业重要的生产要素,应用大数据思维开展数据发掘分析成为寻找油气资源、优化生产、提高决策效率的重要手段;以“港西模式”为代表的地面优化简化工作,通过地面工程标准化建设与以油水井数字化、管道数字化和站库数字化建设为代表的油气生产物联网系统建设的深度融合,全面推进老油田地面工程建设,对转变生产方式、优化劳动组织、提高生产效率、降低安全风险发挥了巨大作用;采用云计算理念,建立集中管理的勘探开发协同研究云,为研究人员提供集硬件、软件、项目数据服务、成果管理于一体的应用服务,满足地震解释、地质建模、数值模拟等研究工作,支持一体化协同研究。开展以优化云计算应用模式、规模推广物联网技术、探索大数据分析技术应用为代表的数字油田建设,推进企业向智能油田方向发展,提升勘探开发一体化协同创新能力、油气生产现场智能化管控能力和生产经营分析决策能力,为企业可持续发展奠定坚实基础。

关键词: 数字油田, 协同研究云, 港西模式, 大数据思维

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