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天然气地下储气库智能化建设关键技术及其发展趋势 被引量:3

Key technologies and development trends for intelligent construction of underground gas storage facilities
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摘要 中国储气库在数字化转型和智能化建设方面已经取得了重要成果,储气库智能化建设发展了油气藏-井筒-管网一体化耦合模拟和数字孪生等关键技术。搭建了智能储气库云平台框架,采用“数据+平台+应用”的建设模式,充分利用数据中心、物联网和工业互联网等新型基础设施,支撑各业务板块管理、研究、生产和服务等需求。储气库智能化建设研发了储气库信息化管理平台、储气库一体化综合管理平台、基于数字孪生一体化仿真的决策系统和储气库全生命周期数字化平台。智能储气库未来建设将重点发展地质体数字孪生、高精度建模、可视化动态展示、智能运营、实时智能风险预警、工业软件国产化以及北斗卫星导航系统、卫星互联网等新技术。 Remarkable achievements have been attained in the digital transformation and intelligent construction of China’s underground gas storage(UGS)facilities,shown as follows.(1)Key technologies,including the hydrocarbon reservoir-wellbore-pipeline network integrated coupling simulation and digital twins,have been developed for the intelligent construction of UGS facilities.(2)An intelligent cloud platform framework for UGS facilities has been established in the mode of data+platform+application.This platform fully utilizes new-type infrastructure like data center(DC),Internet of Things(IoT),and Industrial Internet of Things(IIoT),aiming to meet the demand for the management,research,production,and services of various business segments.(3)The intelligent construction of UGS facilities has led to the R&D of a UGS information management platform,UGS integrated management platform,decision support system using digital twin-based integrated simulation,and a digital platform covering the entire lifecycle of UGS facilities.The future intelligent construction of UGS facilities will focus on the development of new technologies,encompassing digital twin technologies for geological bodies,high-precision modeling,dynamic visual representations,intelligent operation,real-time intelligent risk warning,industrial software localization,and technologies based on the Beidou Navigation Satellite System(BDS)and satellite internet.
作者 糜利栋 曾大乾 刘华 郭艳东 李彦峰 李遵照 孙旭东 张广权 鲁春华 王佩弦 MI Lidong;ZENG Daqian;LIU Hua;GUO Yandong;LI Yanfeng;LI Zunzhao;SUN Xudong;ZHANG Guangquan;LU Chunhua;WANG Peixian(Petroleum Exploration and Production Research Institute,SINOPEC,Beijing 100026,China;Shanxi Institute of Energy,Taiyuan,Shanxi 030600,China;Research Institute of Petroleum and Petrochemicals Co.,Ltd.(Dalian),SINOPEC,Dalian,Liaoning 116045,China;Research Institut of Petroleum Engineering Co.,Ltd.,SINOPEC,Beijing 100026,China)
出处 《石油与天然气地质》 EI CAS CSCD 北大核心 2024年第2期581-592,共12页 Oil & Gas Geology
基金 中国石油化工股份有限公司科技部项目(324052)。
关键词 数字孪生 协同优化 工业物联网 地理信息系统 智能储气库 天然气 digital twin collaborative optimization Industrial Internet of Things(IIoT) geographic information system(GIS) intelligent underground gas storage(UGS) natural gas
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