摘要
在油气产业快速发展进程中,大数据平台的建立和完善发挥着重要作用。文中针对油田工作现场的相关数据本身具有数据规模大、每个个体数据之间关联性强、结构多样等特点,利用Hadoop这一技术对石油产业大数据平台进行设计和完善。新型大数据平台可以针对复杂多样的数据进行整合,并且每个层面的数据可以互相共享和联系。构建出的大数据平台经过实际检测和相关性能检测,最终的结果显示在石油生产运行之中。实践证明,利用这一技术设计,切实可行。
Daring in the rapid development of the oil and gas industry,the establishment and improvement of big data platforms play an important role.This paper focuses on the characteristics of large-scale data,strong correlation between individual data,and diverse structures of the relevant data at the oilfield work site,and uses Hadoop technology to design and improve the petroleum industry big data platform.The new big data platform can integrate complex and diverse data,and the data at each level can be shared and connected with each other.The constructed big data platform has undergone actual testing and related performance testing,and the final result is displayed in the oil production operation.Practice has proved that the use of this technical design is feasible.
作者
毛娜
MAO Na(Information Management Station(Automatic Central Control Station)of Xinjiang Karamay Heavy Oil Development Company,Karamay 834000,Xinjiang Province,China)
出处
《信息技术》
2022年第2期145-150,共6页
Information Technology
