石油化工安全环保技术 ›› 2026, Vol. 42 ›› Issue (2): 39-41.

• 安全与环保管理 • 上一篇    

人工智能背景下的石油钻探企业实验室安全管理探索

覃毅   

  1. 中国石油集团渤海钻探工程有限公司第一固井分公司,河北 任丘 062552
  • 收稿日期:2025-04-02 接受日期:2026-03-15 出版日期:2026-04-20 发布日期:2026-05-12
  • 作者简介:覃毅,男,2009年毕业于长江大学计算机科学与技术专业,现主要从事安全管理工作,高级工程师、注册安全工程师。E-mail: 896028085@qq.com

AI-Driven Laboratory Safety Management in Oil and Gas Drilling Enterprises

Qin Yi   

  1. First Cementing Branch of CNPC Bohai Drilling Engineering Company Limited, Renqiu, Hebei, 062552
  • Received:2025-04-02 Accepted:2026-03-15 Online:2026-04-20 Published:2026-05-12

摘要: 探讨了人工智能背景下石油钻探企业实验室的安全管理问题。通过分析当前实验室安全管理现状及挑战,研究了人工智能技术在安全监控、风险评估和应急响应等方面的应用,提出了构建智能化安全管理体系的策略,包括完善基础设施、优化管理流程和培养专业人才等。研究表明,人工智能技术的应用可显著提升实验室安全管理水平,为石油钻探企业的可持续发展提供有力保障,具有一定的指导意义。

关键词: 人工智能, 石油钻探, 实验室安全管理, 风险评估, 应急响应

Abstract: This paper addresses the issues of laboratory safety management in oil and gas drilling enterprises under the background of artificial intelligence. By analyzing the current status and challenges of laboratory safety management, this study investigates the applications of artificial intelligence technologies in safety monitoring, risk assessment, emergency response and other fields. It proposes strategies for constructing an intelligent safety management system including improving infrastructure, optimizing management processes and cultivating professional talents. The results indicate that the application of artificial intelligence technologies can significantly enhance laboratory safety management, which provides a solid foundation for the sustainable development of oil and gas drilling enterprises and offers guiding significance.

Key words: artificial intelligence, petroleum drilling, laboratory safety management, risk assessment, emergency response