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Enhancing Real Time Decision Making Through Virtual Metering by Integrating Third Party Simulation Software with Live Data

机译:通过将第三方仿真软件与实时数据集成来增强通过虚拟计量的实时决策

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On Oil & Gas facilities, metering systems are used for monitoring and recording plant conditions and specifications in order to support decision making. However many key specifications required for operational decisions cannot be physically metered. Traditionally this would require an engineer to analyse other recorded variables to determine the value for such a specification/This paper describes an innovative approach to support real time operational decision making by creating virtual meters. While useful on a small scale, the traditional method is time consuming and error-prone. Our approach involves the development of an automated service that gathers live data from the plant's operational historian and integrates with third party simulation software to enable more complex calculations of plant specifications of interest. The service is then able to publish the calculated values back to the operational historian in near-real time, simulating the behaviour of plant meters. This approach is effectively creating virtual meters that support real-time decision making at an operational level. The process is automated, allowing the engineers to focus on using these specifications rather than calculating them. The produced data is recorded periodically and available in the same format as the rest of the plant data. The same methods and tools can be used for analysis of the live and historical data for identifying trends and predicting when a specification is approaching key thresholds, enabling the operator to take steps to rectify the process. The concept has been successfully used for a major operator in the North Sea to allow them to maintain production specifications within contractual requirements. The creation of virtual meters by integrating key systems to support near-real time decision making is a novel approach, which can be extended to other areas where measuring plant conditions / specifications is not physically easy or possible.
机译:在石油和天然气设施上,计量系统用于监控和记录工厂条件和规格,以支持决策。然而,运营决策所需的许多关键规范都不能物理计量。传统上,这需要工程师分析其他记录的变量以确定这种规范/本文描述了一种通过创建虚拟米来支持实时操作决策的创新方法。虽然对小规模有用,但传统的方法是耗时和容易出错。我们的方法涉及开发自动化服务,可以收集来自工厂的运营历史学家的实时数据,并与第三方仿真软件集成,以实现更复杂的植物感兴趣的计算。然后,该服务能够在近实时将计算值发布回运营历史学家,模拟植物仪表的行为。这种方法有效地创建了在运行级别支持实时决策的虚拟仪表。该过程是自动化的,允许工程师专注于使用这些规范而不是计算它们。所产生的数据是周期性地记录的,以与植物数据的其余部分相同的格式可用。相同的方法和工具可用于分析实时和历史数据,用于识别趋势和预测规范接近关键阈值时,使操作员能够采取措施来纠正该过程。该概念已成功用于北海的主要运营商,以便他们在合同要求中保持生产规范。通过集成密钥系统来支持近实时决策的虚拟仪表是一种新方法,可以扩展到测量工厂条件/规格不是物理上容易或可能的其他区域。

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