人工智能技术在钻井工程的应用与发展  

The application and development of artificial intelligence technology in drilling engineering

作　　者：杜松涛 杨晓峰 刘克强[1] DU Songtao;YANG Xiaofeng;LIU Keqiang(CCDC Drilling and Production Engineering Technology Research Institute,Guanghan Sichuan 618300,China)

机构地区：[1]川庆钻探工程有限公司钻采工程技术研究院,四川广汉618300

出　　处：《石油化工应用》2024年第6期1-5,10,共6页Petrochemical Industry Application

基　　金：中国石油集团油田技术服务有限公司科学研究与技术开发项目“深井超深井安全优快钻完井技术研究与应用”(2023T-001-001)。

摘　　要：人工智能技术在石油工程领域的研究应用已有几十年历史,近两年来,随着人工智能技术的进一步提升,成为新一轮产业变革和科技革命的新引擎,核心驱动力趋势愈来愈明显。人工智能技术将会是油气勘探开发降本增效的有效手段,也是实现关键技术升级换代,提高竞争力的有效途径。近年来,国内外各大石油技服公司都已将人工智能应用于钻井工程领域的钻井设计、钻井参数优化、井眼轨迹控制、风险预警、钻井程序决策等领域,实现了现场部分应用,显示了较好的应用前景。人工智能技术应用将会影响各企业在新一轮竞争中是否能争取到优势地位。The research and application of artificial intelligence(AI)technology in the field of petroleum engineering has a history of decades.In the past two years,with the further enhancement of AI technology,it has increasingly become a new engine and core driving force for a new round of industrial transformation and technological revolution.AI technology will be an effective means to reduce costs and increase efficiency in oil and gas exploration and development,as well as an effective way to upgrade key technologies and improve competitiveness.In recent years,major domestic and international oil technology service companies have applied AI to drilling design,drilling parameters optimization,well trajectory control,risk warning,drilling program decision-making,and other areas in the field of drilling engineering,achieving partial applications on site and demonstrating good application prospects.The application of AI technology will affect whether enterprises can secure a competitive advantage in the new round of competition.

关 键 词：人工智能 钻井设计 轨迹控制 控压 钻井作业风险预警 

分 类 号：TE242.9[石油与天然气工程—油气井工程]