低碳智能采油气井场边缘一体机研制及应用

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中图分类号：TE928 文献标志码：B doi：10.3969/j.issn.1001-3482.2026.01.008

文章编号：1001-3482（2026）01-0060-08

Abstract：In response to the problems such as the lack ofon-site autonomy and data caching mechanisms in the“cloud-end"oil and gas production Internetof Things （loT）and the poorreal-time response and handling capabilities，anedge all-in-one machineforoiland gas well sites was developed，which enables rapid response and low-carbon smart regulation of oil and gas wellsite production.A“cloud-edge-end"architecture anda “hardware -software-security” collaborative system for edge intelligence in oil and gas well sites were established，ensuring thereliable，efcient，andsafeapplicationof edge all-in-one machine inharsh wellsite environments.The system has developed and deployed functions such as data preprocessing，data analysis， liquid production measurement， operation condition diagnosis，and production warning. The source gridload -storage operation scheduling optimization，peak shaving well -switching， inter -well pumping optimization，flexiblepumping optimization，PACcontrol，andotherbusinesses，along withAIalgorithms，have enabled localized closed-loop processing and decision-making execution at the oil and gas well sites. Field application results show that deploying an edge all-in-one machine at oil and gas wel sites can enable rapid response and handling of on-site production issues.The fault alarm time is less than 2 seconds，and the execution time of control instructions is within 5 seconds.This significantly improves the low-carbon and intelligent level of the oil and gas production site.

Key Words：oil and gas production wellsite; edge all-in-one machine;“cloud-edge-end”architecture; AI algorithm

随着人工智能、物联网和数字孪生技术的深度融合，传统油气生产模式正经历着从“人力密集型”向“数据驱动型"的深刻变革，使油气开发正式迈入智慧化新纪元。（剩余9298字）