摘要
在简述数字孪生技术的由来及分析石油行业钻井领域数字孪生技术研究现状的基础上,提出了钻井井筒数字孪生、地质环境数字孪生、钻机数字孪生、井下动态过程仿真、物理–数字孪生体实时交互等关键技术,设计了钻井数字孪生技术在钻前模拟预测与优化、疑难井施工团队协作预演、随钻预警与决策、钻井远程控制、钻井设备预测性维护、钻井实训等6大应用场景,提出了钻井数字孪生系统的研发重点,并分析了钻井数字孪生技术研发的难点与对策。研究结果为加快数字孪生技术在钻井工程领域的应用,促进钻井工程数字化、智能化转型提供了技术借鉴。
Based on a brief introduction to the origin of digital twin technology and the research status of its applications in drilling engineering in the petroleum industry, some key technologies were advanced, including the development of digital twin of the wellbore, digital twin of the geological environment, digital twins of drilling rigs, the simulation of downhole dynamic processes, and the real-time interaction technology of physical-digital twins, etc.Then, six application scenarios were designed for the digital twin technology: namely pre-drilling prediction and optimization by simulation, rehearsal of teamwork for complex well drilling, early warning and decision-making while drilling, remote drilling control, predictive maintenance of drilling equipment, and drilling training. Further, the major research and development focuses were proposed regarding the digital twin system for drilling. Finally, the research and development difficulties of digital twin technology applied in drilling were analyzed together with corresponding countermeasures. The research results provide a technical reference for speeding up the practical applications of digital twin technology in drilling engineering and promoting the digital and intelligent transformation of drilling engineering.
作者
杨传书
YANG Chuanshu(Sinopec Research Institute of Petroleum Engineering,Beijing,102206,China)
出处
《石油钻探技术》
CAS
CSCD
北大核心
2022年第3期10-16,共7页
Petroleum Drilling Techniques
基金
中国石化科技攻关项目“2020年石油工程智能钻井前沿技术探索研究”(编号:P20047-3)
中国石化新领域项目“基于大数据的司钻智脑系统研制(一期)”(编号:XLY19001)部分研究内容。
关键词
钻井
数字孪生
关键技术
应用
模型
数据驱动
drilling
digital twin
key technologies
application
model
data-driven