摘要
传统的石油钻机监测系统存在实时参数有效采集程度低,传感器对环境的抗干扰性差,数据传输稳定性弱等问题,基于振动测试技术重点研究和设计了钻井泵和绞车的在线监测和故障诊断系统,实现了钻机设备健康状态在线实时监测和诊断。分析了钻井泵和绞车常见故障及测点布局,介绍了在线监测和故障诊断系统中软、硬件的设计和该系统的测试试验,经过现场试验证明:该系统能够识别出钻井泵和绞车是否发生轴承、泵阀以及十字头等故障,实现定量、定位诊断,其中钻井泵故障识别准确率约为88.7%,绞车故障识别准确率约为87.5%,有助于保障油气安全生产。
The traditional oil drilling rig monitoring system has some problems, such as low effective collection of real-time parameters, poor anti-interference of sensors to the environment, weak stability of data transmission and so on. based on vibration testing technology, on-line monitoring and fault diagnosis system for drilling pump and winch are researched and designed with emphasis. The on-line real-time monitoring and diagnosis for the health status of drilling rig equipment is realized. The common faults of drilling pump and winch and the layout of measuring points are analyzed, the design of software and hardware in the on-line monitoring and fault diagnosis system and the test test of the system are introduced. Through on-site tests, it is proved that the system can identify whether bearing, pump valve and crosshead faults occur in drilling pump and winch, and quantitative and positioning diagnosis are realized, in which the fault identification accuracy of drilling pump is about 88.7%, and the accuracy of winch fault identification is about 87.5%, which is helpful to ensure the safe production of oil and gas.
作者
贾登
骆学理
王施权
张易
苏勇
王永超
白翰钦
Jia Deng;Luo Xueli;Wang Shiquan;Zhang Yi;Su Yong;Wang Yongchao;Bai Hanqin(CNPC Engineering Technology R&D Co.Ltd.,Beijing,102206,China;InternationalEngineering Company,CNPC West Drilling Engineering Co.Ltd.,Urumqi,830000,China)
出处
《石油化工自动化》
CAS
2022年第5期25-28,42,共5页
Automation in Petro-chemical Industry
基金
中国石油天然气集团有限公司科学研究与技术开发项目(2021DJ4304)。
关键词
振动
状态监测
数据采集
故障诊断
vibration
condition monitoring
data acquisition
fault diagnosis
