石油大数据产业未来发展方案研究

L. Zhen, Lin Guanjun, Li Shusheng, Wang Weibin, L. Xiaoming
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引用次数: 0

摘要

当前,大数据产业在全球多个领域迅猛发展,为传统石油行业的转型升级带来了机遇。石油全业务链规模庞大,石油勘探开发、运输、炼制等领域迫切需要大数据技术的应用。然而,石油大数据产业仍处于起步阶段,遇到了石油数据存储管理不规范、技术标准不统一、安全隐患等诸多挑战。这些问题进一步导致数据共享不良、企业内部重复业务部署和系统受损。针对以上问题,本文提出了石油大数据产业发展的总体架构。该架构方案整合了石油产业链的所有数据和业务,实现了安全的数据共享、有效的业务管理和科学的资源配置。因此,石油大数据解决方案可以为生产过程和工业业务的动态管理提供重要的研究思路,从而提高石油工业的整体生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the future development scheme of the oil big data industry
At present, the big data industry is developing rapidly in many fields around the world, and it brings opportunities for the transformation and upgradation of the traditional oil industry. The whole oil business chain is of large scale, and there are urgent needs to apply big data technologies in the fields of petroleum exploration and development, transportation, refining and other fields. However, the oil big data industry is still in its infancy and has encountered many challenges, including oil data storage and management being not standardized, technical standards being not unified, and security concerns. These issues further lead to the poor data sharing, repeated business deployment within the enterprise and the compromised of the systems. To solve the problems above, this paper proposes the overall architecture for the development of the oil big data industry. The architecture scheme integrates all the data and business of the oil industry chain, which allows the secure data sharing, effective business management and scientific allocation of resources. Therefore, the oil big data solution can provide an important research idea for the dynamic management of production process and industrial business, which improves the overall productivity of oil industry.
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