人工智能钻井技术研究方法及其实践  

Research Method and Practice of Artificial Intelligence Drilling Technology

作　　者：杨传书[1] 李昌盛[1] 孙旭东[1] 黄历铭 张好林[1] YANG Chuanshu;LI Changsheng;SUN Xudong;HUANG Liming;ZHANG Haolin(Sinopec Research Institute of Petroleum Engineering,Beijing,102206,China)

机构地区：[1]中国石化石油工程技术研究院,北京102206

出　　处：《石油钻探技术》2021年第5期7-13,共7页Petroleum Drilling Techniques

基　　金：国家重点研发计划“复杂油气智能钻井理论与方法”(编号:2019YFA0708300);中国石化新领域培育科技攻关项目“基于大数据的司钻智脑系统研制(一期)”(编号:XLY19001)联合资助。

摘　　要：人工智能技术飞速发展,在部分行业已取得明显的应用效果,但在钻井领域的应用尚处于探索阶段。为推动人工智能技术在钻井领域的应用,在简述钻井行业人工智能应用研究情况的基础上,提出了将人工智能技术应用到钻井领域的“三轮驱动”方法论,分析了钻井领域适合开展人工智能研究的业务场景及人工智能技术工具,提出了基于方法论评价优选项目的方法,给出了评价优选实例,并以井下故障复杂实时诊断为例简述了钻井人工智能应用研究的过程。同时,指出了钻井领域开展人工智能应用研究存在的不足,提出了钻井人工智能技术的发展建议。With the rapid development of artificial intelligence(AI)technology,it has made remarkable breakthroughs in many fields.However,the application of AI in drilling engineering is still in the primary stage.In order to promote the application of AI technology in drilling,based on a brief description of the research situation of its application in drilling engineering,a“three-wheels drive”methodology for the specific application of AI technology in drilling area was proposed.Then,business application scenarios and AI technology tools suitable for the research of AI in drilling engineering were analyzed.After putting forward a method of evaluating and optimizing projects based on the methodology with examples,the research process of AI application in drilling was illustrated by the real-time diagnosis of complex downhole failures.Finally,the shortcomings were identified and suggestions were given for the application of AI in drilling engineering,so as to promote the development of AI drilling technology.

关 键 词：钻井 人工智能 大数据 “三轮驱动”方法论 井下故障 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TE938[自动化与计算机技术—控制科学与工程]