自动化与仪表2024,Vol.39Issue(12) :146-151.DOI:10.19557/j.cnki.1001-9944.2024.12.032

基于大数据分析在渤海智能油田的实践

Practice of Big Data Analysis in Bohai Intelligent Oilfield

高静
自动化与仪表2024,Vol.39Issue(12) :146-151.DOI:10.19557/j.cnki.1001-9944.2024.12.032

基于大数据分析在渤海智能油田的实践

Practice of Big Data Analysis in Bohai Intelligent Oilfield

高静1
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作者信息

  • 1. 中海石油(中国)有限公司天津分公司,天津 300451
  • 折叠

摘要

该文探讨了基于大数据分析在渤海智能油田的实践.首先,引入了该实践的背景和目标,即利用大数据分析技术实现智能化和优化运营的目标;接着,在实施模块场景中,详细描述了 3个实时场景的方案:实时OLAP分析、实时分析和实时查询;然后,介绍了功能总体架构和开发标准架构,以及技术架构的细节.在数据模型设计策略中,讨论了如何设计适合该实践的数据模型;最后,强调了性能优化设计的重要性,并提供了结合前面讨论的大纲进行性能优化的建议.重点介绍了基于大数据分析的实践在渤海智能油田中的应用,包括实施模块场景、功能总体架构、开发标准架构、技术架构、数据模型设计策略和性能优化设计.

Abstract

This article explores the practice of big data analysis in Bohai intelligent oilfield.The article first intro-duces the background and objectives of this practice,which is to use big data analysis technology to achieve intelli-gence and optimize operations.Next,in the implementation module scenario,three real-time scenarios were described in detail:real-time OLAP analysis,real-time analysis,and real-time queries.Then,the overall functional architecture and development standard architecture were introduced,as well as the details of the technical architecture.In the data model design strategy,discussed how to design a data model that is suitable for this practice.Finally,the article emphasizes the importance of performance optimization design and provides suggestions for performance optimization based on the outline discussed earlier.The focus is on the application of big data analysis based practices in Bohai intelligent oilfield,including implementation module scenarios,overall functional architecture,development standard ar-chitecture,technical architecture,data model design strategies,and performance optimization design.

关键词

智能油田/边缘计算/物联网/大数据分析/结构化数据/实时传输

Key words

intelligent oilfield/edge computing/Internet of Things/big data analysis/structured data/real time trans-mission

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出版年

2024
自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
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