生成Glen Lyon FPSO的数字孪生体

Jonathan Bailey, R. Bamford, Suvabrata Das, Soma S. Maroju, R. J. Barker
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引用次数: 0

摘要

为Glen Lyon FPSO开发了Digital Twin,以保持船舶完整性并确保在允许的设计限制内运行。这个数字孪生系统的核心是两个组件:安装在FPSO上的综合海洋监测系统(IMMS)和BMT DEEP,一个基于云的平台,用于存储、管理、集成、后处理和显示由IMMS和其他数据源收集的大量数据集。本文的重点是利用数字孪生技术的优势,通过从所有来源获取数据,并能够从任何远程位置近乎实时地合成和监控FPSO。这款Digital Twin的设计目的是通过过滤资产生命周期内的小时、日、月、季度和年等任何时间窗口的数据,实现数据的快速查询。几个传感器将数据馈送到格伦·里昂综合管理系统。传感器包括FPSO运动、应力响应监测和海洋监测。除了基于FPSO的测量外,还可以从气象局气象浮标K7和附近克莱尔平台的风力测量中获得海洋气象数据。通过对数据的质量控制,生成了实测海洋参数的复合图。这些质量控制的数据在DEEP上以时间序列的形式可视化,并与设施设计数据的基础进行比较,根据形成海洋和结构仪表板的几个统计图表进行比较。从这些比较中提出了一些关键的见解和发现。
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Generating a Digital Twin of the Glen Lyon FPSO
A Digital Twin has been developed for the Glen Lyon FPSO to maintain vessel integrity and ensure operation within the allowable design limits. At the core of this Digital Twin are two components: the Integrated Marine Monitoring System (IMMS) installed on the FPSO, and BMT DEEP, a cloud-based platform that stores, manages, integrates, post-processes and displays the vast data sets collected by the IMMS as well as other data sources. This paper focuses on harnessing the benefits of Digital Twin Technology, by bringing in data from all sources and enabling to synthesize and monitor the FPSO in near real-time from any remote location. This Digital Twin is designed to allow rapid query of the data by filtering with any time window in terms of hour, day, month, quarter, and year of data collection for the life of the asset. Several sensors feed data to the Glen Lyon IMMS. The sensors include FPSO motion, stress response monitoring, and metocean monitoring. In addition to the FPSO based measurements, metocean data is also available from Met Office weather buoy K7, and wind measurements from the nearby Clair platform. A composite of the measured metocean parameters is generated from the quality control of the data. This quality-controlled data is visualized on DEEP as a time series, as well as comparisons with the basis of design data for the facility in terms of several statistical charts that form the metocean and structural dashboards. Some key insights and findings from these comparisons are presented.
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