边缘计算在油气行业的应用场景与实践  

Application Scenarios and Practices of Edge Computing in Oil and Gas Industry

作　　者：贾志鹏 崔强[2] 周婷 余杰 赵一帆 

机构地区：[1]中国石油长庆油田分公司页岩油开发分公司 [2]中国石油长庆油田分公司第一采油厂

出　　处：《自动化博览》2022年第8期52-56,共5页Automation Panorama1

摘　　要：本文在油气行业多层闭环管理系统的框架下,依托云端部署的大数据平台软件,基于油井生产整体优化技术,介绍了边缘计算相关方面算法和技术,重点阐述和分析了嵌有边缘计算算法技术的智能RTU应用场景与实践结果,并对实践测试结果进行了对比与总结。通过边缘计算的应用,提升了油气现场的工况诊断能力、功图量液水平和合规检测能力,进而实现油田无人值守、降低安全风险、降本增效。Under the framework of the multi-layer closed-loop management system for the oil and gas industry, relying on the big data platform software deployed in the cloud, and based on the overall optimization technology of oil well production, this paper introduces the algorithms and technologies related to edge computing, and focuses on the application scenarios and practical results of intelligent RTU embedded with edge computing algorithm technology. And the practical test results are compared and summarized. Through the application of edge calculation, the ability to work condition diagnosis, the level of power chart liquid measurement and the ability of compliance detection in oil and gas fields are improved, thus realizing unattended oilfields, reducing safety risk, reducing cost and increasing efficiency.

关 键 词：智能RTU 功图诊断 功图量液 合规监测 

分 类 号：TE319[石油与天然气工程—油气田开发工程]