海洋工程装备与技术

海洋工程装备与技术 ›› 2025, Vol. 12 ›› Issue (2): 152-155.doi: 10.12087/oeet.2095-7297.2025.02.32

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基于人工智能的电潜泵井精细化管理研究

吴斌峰1，张玮2，王栋2，张振翔2   

  1. 1. 中海油能源发展股份有限公司采油服务深圳分公司，广东 深圳 518054；2. 南海西部石油油田服务（深圳）有限公司，广东 深圳 518054
  • 出版日期:2025-06-05 发布日期:2025-07-12
  • 作者简介:吴斌峰（1989— ），男，工程师，主要从事海洋工程设备安全管理。

Research on Fine-Grained Management of Electric Submersible Pump Wells Based on Artificial Intelligence

WU Binfeng1， ZHANG Wei2， WANG Dong2， ZHANG Zhenxiang2   

  1. 1. Oil Production Service Shenzhen Branch， CNOOC Energy Technology & Services Limited， Shenzhen 518054， Guangdong, China；2. Nanhai West Oilfield Services (Shenzhen) Co.， Ltd., Shenzhen 518054， Guangdong, China
  • Online:2025-06-05 Published:2025-07-12

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摘要： 旨在探索人工智能用于电潜泵井精细化管理的策略，通过阐述电潜泵管理理论和人工智能在工业管理中的应用，分析国内外相关案例，提出包括实时在线监控预警、工况智能诊断、在线优化设计的精细化管理策略，以提高电潜泵井管理水平和效益。

关键词: 电潜泵井, 人工智能, 精细化管理, 在线监控预警, 工况智能诊断

Abstract: This article aims to explore the strategies of artificial intelligence for the fine-grained management of electric submersible pump wells. By elaborating the management theory of electric submersible pumps and the application of artificial intelligence in industrial management， and analyzing relevant domestic and foreign cases， fine-grained management strategies including real-time online monitoring and warning， intelligent diagnosis of working conditions， and online optimization design are proposed to improve the management level and efficiency of electric submersible pump wells.

Key words: electric submersible pump wells, artificial intelligence, refined management, online monitoring and early warning, intelligent working condition diagnosis

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