人工智能在钻井工程事故预警中的局限性分析  

Limitations analysis of artificial intelligence in drilling engineering accident warning

作　　者：陶守斌 刘勇江 刘颖 郝龙 TAO Shoubin;LIU Yongjiang;LIU Ying;HAO Long(Technical Service Company for Shale Gas Production,Sinopec Oilfield Services Jianghan Corporation,Wuhan,Hubei 430074,China)

机构地区：[1]中石化江汉石油工程有限公司页岩气开采技术服务公司,湖北武汉430074

出　　处：《江汉石油职工大学学报》2025年第2期17-19,共3页Journal of Jianghan Petroleum University of Staff and Workers

摘　　要：在互联网时代,随着人工智能技术的飞越发展,一些人工智能技术被应用到石油勘探中,提升了勘探的智能化水平,但在在钻井工程事故预警中的应用往往引发许多问题。基于此,文章对智能钻井工程事故预警软件系统展开分析,采用对比分析法,探究系统在应用中展现的问题,并对人工智能在钻井工程事故预警中的局限性进行了总结,展望该类现象的改善前景。In the internet era,the rapid development of artificial intelligence(AI)has elevated the intelligence level of petroleum exploration,yet its application in drilling engineering accident warning often raises concerns.This study analyzes an intelligent drilling accident warning software system using comparative methods to identify issues in its application,summarizes the limitations of AI in this context,and explores prospects for improvement,offering insights into enhancing its effectiveness.

关 键 词：人工智能 钻井工程 智能钻井预警系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TE28[自动化与计算机技术—控制科学与工程]