摘要
【目的】针对油气勘探开发领域面临的数据存储、处理和分析方面的需求和难点,提出一种基于“湖仓一体”技术的大数据平台设计方案。【方法】首先,详细阐述了平台的整体架构设计、关键技术和在生产环境中的应用实践;其次,通过构建统一的数据存储层、计算引擎层和应用服务层,实现了海量异构数据的高效管理和分析。【结果】生产实践表明,该平台的应用使得数据加载与处理时间从原来的平均12 h缩短至2 h,效率提升约83%。【结论】该平台的应用显著提升了油气勘探开发数据的处理效率和分析能力。该平台架构的开放性和可扩展性也为与其他新兴技术的融合应用奠定了基础,有望推动油气行业向更加数字化、智能化的方向发展。
[Purposes]In response to the demands and challenges of data storage,processing,and analysis in the field of oil and gas exploration and development,a big data platform design based on the"Lakehouse"technology is proposed.[Methods]Firstly,the overall architecture design,key technologies,and practical applications of the platform in production environments are elaborated in detail.Secondly,by constructing a unified data storage layer,computing engine layer,and application service layer,efficient management and analysis of massive heterogeneous data are achieved.[Findings]Production practices demonstrate that the application of this platform reduces the average data loading and processing time from the original 12 hours to 2 hours,achieving an efficiency improvement of approximately 83%.[Conclusions]The application of this platform significantly enhances the data processing efficiency and analytical capabilities for oil and gas exploration and development.The openness and scalability of the platform architecture also lay the foundation for integration with other emerging technologies,which is expected to propel the oil and gas industry toward a more digitalized and intelligent development path.
作者
康晓梅
KANG Xiaomei(Sinopec Petroleum Exploration and Production Research Institute,Beijing 102206,China)
出处
《河南科技》
2025年第22期23-27,共5页
Henan Science and Technology
关键词
湖仓一体
油气勘探
大数据平台
数据管理
数据分析
生产实践
lakehouse
oil and gas exploration and development
big data platform
data manage
data analysis
production practice
