基于知识图谱的海上智能油田油性危化品预警系统研究

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doi：10.3969/J.ISSN.1672-7274.2025.06.016

中图分类号：TE5；TP274 文献标志码：A 文章编码：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

海上油田在开采过程中，由于其复杂的环境和高风险的操作性质，常常面临着各种油性危险化学品的潜在威胁，可能对海洋生态系统和作业人员人身安全造成严重影响。（剩余3928字）