湖仓一体大数据平台设计及其在油气生产中的应用

打开文本图片集

中图分类号：TP311.13 文献标志码：A 文章编号：1003-5168（2025）22-0023-05

DOI：10.19968/j.cnki.hnkj.1003-5168.2025.22.004

Design ofLake Warehouse Integrated Big Data Platform and Its Application in Oil and Gas Production

KANG Xiaomei

（Sinopec Petroleum Exploration and Production Research Institute，Beijing 1O22O6， China）

Abstract： [Purposes] In response to the demands and challenges of data storage，processing，and analysis in the field of oil and gas exploration and development，abig data platform design basedon 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 eficiency 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.

Keywords： lakehouse; oil and gas exploration and development; big data platform; data manage; data analysis; production practice

0 引言

从勘探、开发、生产到运输、炼化、销售，石油行业的每个环节都会产生海量数据。（剩余4808字）