Practice of Big Data Analysis in Bohai Intelligent Oilfield
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.
intelligent oilfieldedge computingInternet of Thingsbig data analysisstructured datareal time trans-mission
万方数据
维普
