Digital Twin Technology in the Field Reclaims Offshore Resources

T. Brewer, Darrell Knight, Gautier Noiray, Harit Naik
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引用次数: 8

Abstract

For decades, upstream personnel have struggled to efficiently gather offshore data and effectively analyze it to make better business decisions. One internal audit conducted by an oil and gas company found its upstream employees spent up to 80 percent of their time just looking for, then converting the data because the data historically has not been housed in one place within one platform. Traditionally, employees must collect large volumes of information from multiple data sources, including spreadsheets, data streams or tacit knowledge. Alone, the Internet of Things (IoT) sensors connected to equipment in the field can send 1,000 readings a minute to engineers, resulting in an insurmountable data for engineers to assess critically. All of this effort results in underutilized time and loss of money. The paper's topic addresses the digital twin technology solution which solves energy company's Big Data problems and recoups the wasted time and associated costs of field workers looking for data. Specifically, FutureOn's FieldTwin technology offers a cloud-based, comprehensive and secure platform with the ability to break up the barriers of the data silos built by legacy systems, creating accessible data across the company. Employees spend less time searching for data, and more time identifying trends and innovative ways to exploit the data, i.e., smarter drilling, greater field automation or improved safety. FieldTwin technology also provides a real-time, data-driven visual representation of the field that creates actionable data, whether it is an operator using the visualization of its subsea assets for field expansions or a renewable company utilizing the digitalization of its offshore wind projects for more effective planning. Studies show humans respond to and process visual data better than any other type of data. The human brain processing images 60,000 times faster than text, and 90 percent of information transmitted to the brain is visual. FieldTwin exploits this reality to enhance data processing and organizational effectiveness spanning project management to risk management in the field.
数字孪生技术在海上资源回收中的应用
几十年来,上游人员一直在努力有效地收集海上数据,并对其进行有效分析,以做出更好的业务决策。一家石油和天然气公司进行的内部审计发现,其上游员工花费了高达80%的时间来寻找数据,然后转换数据,因为历史上数据并没有存储在一个平台的一个地方。传统上,员工必须从多个数据源收集大量信息,包括电子表格、数据流或隐性知识。仅连接到现场设备的物联网(IoT)传感器就可以每分钟向工程师发送1000个读数,从而为工程师提供不可逾越的数据以进行严格评估。所有这些努力都导致了时间和金钱的浪费。本文的主题是数字孪生技术解决方案,该解决方案解决了能源公司的大数据问题,并弥补了现场工作人员寻找数据所浪费的时间和相关成本。具体来说,FutureOn的FieldTwin技术提供了一个基于云的、全面的、安全的平台,能够打破遗留系统建立的数据孤岛的障碍,在整个公司创建可访问的数据。员工花在搜索数据上的时间更少,而花在识别趋势和利用数据的创新方法上的时间更多,例如更智能的钻井、更高程度的油田自动化或更高的安全性。FieldTwin技术还提供现场实时、数据驱动的可视化表示,从而创建可操作的数据,无论是利用水下资产可视化进行现场扩展的运营商,还是利用海上风电项目数字化进行更有效规划的可再生能源公司。研究表明,人类对视觉数据的反应和处理比任何其他类型的数据都要好。人脑处理图像的速度是文本的6万倍,而且传递到大脑的信息中有90%是视觉信息。FieldTwin利用这一现实来增强数据处理和组织效率,跨越项目管理和风险管理领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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