数字孪生在油气工程领域的应用研究  

Application and Development of Digital Twin in Oil and Gas Industry

作　　者：李昊 苏堪华[1] 李猛[1] 达文豪 魏健 张浪 LI Hao;SU Kanhua;LI Meng;DA Wenhao;WEI Jian;ZHANG Lang(College of Petroleum and Natural Gas Engineering,Chongqing University of Science and Technology,Chongqing 401331,China)

机构地区：[1]重庆科技学院石油与天然气工程学院,重庆401331

出　　处：《重庆科技学院学报（自然科学版）》2022年第5期7-12,共6页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：国家自然科学基金面上项目“耦合动力土反力作用的深水井口多轴疲劳理论和时变可靠度研究”(51974052);重庆市基础研究与前沿探索项目“连续管钻井(塞)管柱底部激振波及规律和振扭耦合多轴疲劳研究”(CSTC2019JCYJ-MSXMX0199);重庆科技学院研究生科技创新项目“深水钻井导管力学特征数字孪生体构建研究”(YKJCX2120124)。

摘　　要：随着信息化、智能化技术的发展,数字孪生将成为推动油气勘探开发模式升级的重要技术手段之一。数字孪生系统在物理实体与虚拟模型之间创建联系,并在感知数据与核心算法的支持下高效地应对油气开发中的工程问题,从而辅助工程决策。经过近些年与高级仿真、机器学习、大数据、云平台等信息技术相关的融合研究,数字孪生技术在油气工程领域的应用逐渐深入。With the development of information and intelligent technology,digital twin will become one of the important technical means to promote the upgrade of oil and gas exploration and development mode.Digital twin systems create connections between physical entities and virtual models,and efficiently deal with engineering problems in oil and gas development with the support of sensing data and core algorithms to assist engineering decisions.In recent years,the application of digital twin technology in the field of oil and gas engineering has gradually deepened after the fusion research related to advanced simulation,machine learning,big data,cloud platform and other information technologies.

关 键 词：数字孪生 油气工程 系统结构 人工智能 

分 类 号：TE319[石油与天然气工程—油气田开发工程]