基于大数据分析的油田设备运行智能监测技术探索  

Exploration of Intelligent Monitoring Technology for Oilfield Equipment Operation Based on Big Data Analysis

作　　者：王茜竹 WANG Xizhu(Digital Operation and Maintenance Center of No.7 Oil Production Company Daqing Oilfield Limited Company,Daqing Heilongjiang 163453,China)

机构地区：[1]大庆油田有限责任公司第七采油厂数字化运维中心,黑龙江大庆163453

出　　处：《信息与电脑》2025年第6期21-23,共3页Information & Computer

摘　　要：文章探讨了基于大数据分析的油田设备运行智能监测技术,旨在解决传统监测方法效率低下、准确性不足的问题。通过构建基于改进PNN模型的智能监测系统,实现了设备运行数据的实时采集、分析和预警,提高了设备运行效率和可靠性,降低了故障风险和维修成本。实验分析表明,该技术能够有效聚类设备运行数据,准确监测设备状态。The paper explores intelligent monitoring technology for oilfield equipment operation based on big data analysis,aiming to solve the problems of low efficiency and insufficient accuracy of traditional monitoring methods.By constructing an intelligent monitoring system based on an improved PNN model,real-time collection,analysis,and early warning of equipment operation data have been achieved,improving equipment operation efficiency and reliability,and reducing fault risks and maintenance costs.Experimental analysis shows that this technology can effectively cluster equipment operation data and accurately monitor equipment status.

关 键 词：大数据分析 油田设备 智能监测 PNN模型 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]