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油田环保安全领域标准数据关联性监测技术研究

王凯月 黄珊 王逸飞 孙红军 苏雪松 延伟

标准科学Issue(2):47-52,6.
标准科学Issue(2):47-52,6.DOI:10.3969/j.issn.1674-5698.2024.02.008

油田环保安全领域标准数据关联性监测技术研究

Research on Correlation Monitoring of Standard Data in Oilfield Environmental Safety Field

王凯月 1黄珊 1王逸飞 2孙红军 3苏雪松 2延伟1

作者信息

  • 1. 中国石油化工股份有限公司胜利油田分公司技术检测中心
  • 2. 胜利油田检测评价研究有限公司
  • 3. 中国标准化研究院
  • 折叠

摘要

Abstract

This paper carries out research on the correlation monitoring technology of oilfield environmental safety standards,and conducts automatic correlation monitoring of domestic and foreign dynamic information related to oilfield environmental safety standards such as standard dynamics,policies and regulations,think tank reports,intelligence products,and hot columns.The research ideas are to identify data requirements of oilfield environmental protection safety standards,determinate standard data sources,automatically capture associated data and make an analysis of associated monitoring content.The paper uses big data analysis and knowledge correlation technology to realize automatic statistics and analysis of the basic content of the required monitoring data,dynamically and visually display or analyze the monitoring data,timely track and publish the forefront and hot content of oilfield environmental safety standards,help users to easily understand the latest development in the field of oilfield environmental safety standards,and provide multivariate data support for the construction of the oilfield environmental safety standard knowledge base.

关键词

油田环保安全/标准数据/关联性监测/机器学习

Key words

oilfield environmental protection safety/standard data/correlation monitoring/machine learning

引用本文复制引用

王凯月,黄珊,王逸飞,孙红军,苏雪松,延伟..油田环保安全领域标准数据关联性监测技术研究[J].标准科学,2024,(2):47-52,6.

标准科学

1674-5698

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