基于知識圖譜的海上智能油田油性?；奉A(yù)警系統(tǒng)研究
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doi：10.3969/J.ISSN.1672-7274.2025.06.016
中圖分類號：TE5；TP274 文獻(xiàn)標(biāo)志碼：A 文章編碼：1672-7274（2025）06-0047-03
Research on Offshore Intelligent Oilfield Oil Hazardous Chemicals Early Warning System Based on Knowledge Graph
HUANGZhibin
（CNOOC Information Technology Co.，Ltd.， Shenzhen 518o52，China）
Abstract：With the developmentof intelligent oilfield technology，traditional manual monitoring methods for oily hazardous chemicals generated in the production processcan no longer meet the requirements of real-time and accuracy. By constructing an intelligent warning system，comprehensive monitoring，rapid response，and scientific decision-making ofoilyhazardous chemicalrisks can beachieved.To this end，this article proposesa knowledge graph based intellgent oil and hazardous chemical warning system for offshore oil fields，which combines knowledge graphs and machine learning models such assupport vector machines to improve the warning capability for oil and hazardous chemicals in offshore oil fields.
Keywords： knowledge graph; intelligent oilfield; oil hazardous chemicals; early warning system
1 研究背景
海上油田在開采過程中，由于其復(fù)雜的環(huán)境和高風(fēng)險的操作性質(zhì)，常常面臨著各種油性危險化學(xué)品的潛在威脅，可能對海洋生態(tài)系統(tǒng)和作業(yè)人員人身安全造成嚴(yán)重影響。（剩余3928字）