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Research and Application of Big Data Analysis for Oil and Gas Production

机译:石油和天然气生产大数据分析的研究与应用

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The history of oil and gas development and production is a history of data development. The generation of a large amount of information data has laid the cornerstone for the application of big data analysis. How to effectively mine data resources, use big data analysis to guide oilfield production practices, and provide a theoretical basis for decision-making to improve quality and efficiency is the technology core. In recent years, Huabei Oilfield has explored the application of big data analysis in oil and gas production. According to the types and characteristics of oilfield data, it has proposed and created a closed-loop big data analysis “seven-step method” system from acquisition, processing, tracking, and evaluation, preliminary designed and developed a data mining platform for oil production engineering based on Hadoop/Spark; The platform has been applied in 6 oil and gas production units and achieved remarkable social and economic benefits.
机译:石油和天然气开发史和生产史是数据发展历史。一代大量信息数据奠定了应用大数据分析的基石。如何有效地挖掘数据资源,使用大数据分析来指导油田生产实践,为提高质量和效率提供决策的理论依据是技术核心。近年来,淮北油田探讨了大数据分析在石油和天然气生产中的应用。根据油田数据的类型和特点,提出并创建了闭环大数据分析“七步方法”系统,从采集,加工,跟踪和评估,初步设计和开发了一种用于石油生产的数据挖掘平台基于Hadoop / Spark的工程;该平台已应用于6个石油和天然气生产单位,并取得了卓越的社会和经济效益。

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