海上钻井平台关键设备智能维修系统设计与开发
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作者单位:

1.中海油田服务股份有限公司钻井研究院;2.中国石油大学(北京)

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中图分类号:

TE974.1

基金项目:

国家重点研发计划“高安全装备远程运维与数字化检修关键技术研究”(2020YFB1709703);国家自然科学基金“基于遥感和GIS的区域生态环境可持续协同发展评价方法及应用研究—以京津冀为例”(71871221)


Design and Development of Intelligent Maintenance System for Key Equipment of Offshore Drilling Platform
Author:
Affiliation:

1.Drilling Research and Design Institute, China Oilfield Services Limited;2.China University of Petroleum, Beijing

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    摘要:

    当前,国内外海洋石油钻井平台针对关键设备的维护一般采用计划维修加临时抢修的模式,对于故障征兆的敏感程度较低,而因突发故障导致的紧急停产往往会带来巨大的经济损失,因此,亟需探索一套能够满足平台实际需求的维修管理模式。本文通过讨论预防性维修的弊端以及状态维修理念现存的不足,引入智能维修的概念,在设备实时在线监测基础上,首次研发以功能业务为主线、多源数据为驱动的海洋平台关键设备智能维修系统,依据故障诊断预警理论,评估平台设备状态并提供合理维修建议。目前,该系统已成功用于辅助平台维修人员开展对顶驱、主机和推进器等设备的维护维修工作,应用结果表明,该系统报警准确率和诊断准确率分别达到97.51%和90%,有效降低了维修成本,提高了维护效率和质量。

    Abstract:

    At present, the maintenance of key equipment for domestic and foreign offshore oil drilling platforms generally adopts the mode of planned maintenance and temporary repair, which is less sensitive to failure signs, and emergency shutdown due to sudden failures often brings huge economic losses. Therefore, it is urgent to explore new maintenance management strategies that can meet the actual needs of the platforms. This article discusses the drawbacks of preventive maintenance and the shortcomings of the existing conditional maintenance concept, introduces the concept of smart maintenance, and develops an intelligent maintenance system for key equipment of offshore platforms based on real-time online monitoring of equipment, with functional business as the main line and multi-source data as the driver. Based on fault diagnosis and early warning theory, the system can evaluate the status of platform equipment and provide reasonable maintenance suggestions. At present, the system has been successfully used to assist platform maintenance personnel in the maintenance and repair of top drive, main engines and thrusters, etc. Application results show that the system’s alarm accuracy and diagnosis accuracy reach 97.51% and 90%, respectively, which effectively reduces maintenance costs and improves maintenance efficiency and quality.

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  • 收稿日期:2021-03-02
  • 最后修改日期:2021-03-26
  • 录用日期:2021-03-29
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