首页    期刊浏览 2024年09月29日 星期日
登录注册

文章基本信息

  • 标题:The application of data warehouse and data mining in fracturing engineering system
  • 本地全文:下载
  • 作者:Shuangshuang Ren ; Fei Shen ; Hao Xu
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:170
  • 期号:2
  • 页码:022080
  • DOI:10.1088/1755-1315/170/2/022080
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:With the development of low permeability oil reservoirs in oil fields, the continuous development of fracturing technology and the optimization of fracturing design, the analysis of effect needs to be fast and accurate. The fracturing project is a systematic project that requires full-process, comprehensive data support and analysis. To achieve this, it is necessary to analyse a large amount of data and share resources. The development of data warehouse system and information network technology exactly meets the above requirements. At the same time, data warehouses, with the aid of online analytical processing (OLAP) and data mining tools (DM), can help engineering technologies manage, synthesize and analyse vast amounts of data in a better way to support management decisions. This paper takes fracturing engineering as an example, illustrate the contents of the data warehouse system's structure, design and implementation, and data presentation, proposes a data warehouse solution for fracturing engineering. Through the use of data warehouse technology and data mining technology, this paper has constructed a data warehouse with specialties in the field of fracturing engineering, providing technical support for engineering management and technical personnel at different levels and departments to provide effective decision analysis.
国家哲学社会科学文献中心版权所有