Mohammad S. Al-Kadem, Mohammed Gomaa, Karam Al Yateem, Abdulmonam Al Maghlouth
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Nevertheless, such MPFMs require frequent maintenance, which could be quite difficult to manage when having a large number of meters.\n An in-house application was developed to support those objectives and to remotely monitor the health of all MPFMs on a real-time basis. The in-house analytics system comprises four modules: Field Overview, MPFM Overview, Well Test Management, and Alarm Management. The steps used to avail this kind of solution cover infrastructure requirements, visualization requirements, optimization, and prediction. The solution was designed as the major interface for engineers to proactively detect and prevent major MPFM component failures and highlight all types of projected MPFM component failures. It proactively harvests preset alarms, which leads to preventing internal MPFM parts from failing. These alarms are generated based on critical parameters measured by the MPFM such as rates, differential pressure (DP), and radioactive measurements. 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引用次数: 0
摘要
多相流量计(MPFMs)是一种成熟的智能现场技术,它利用复杂的流动模型来实时准确地测量多相流(油、气和水)。利用MPFM实时传感器数据技术实现的主要好处是降低了维护成本,优化了维护计划,并通过减少访问和预测井的性能来提高安全性。mpfm还具有在短时间内执行全面实时测试验证的能力,使其成为有价值的工具。利用他们的能力,工程师可以使用连续的数据流远程执行各种生产分析场景,从而减少并最终消除对远程油田运营商和供应商的依赖。然而,这样的mpfm需要经常维护,当拥有大量仪表时,这可能非常难以管理。开发了一个内部应用程序来支持这些目标,并实时远程监控所有强积金基金的运行状况。内部分析系统包括四个模块:Field Overview、MPFM Overview、Well Test Management和Alarm Management。用于利用这种解决方案的步骤包括基础设施需求、可视化需求、优化和预测。该解决方案被设计为工程师的主要接口,用于主动检测和预防主要MPFM组件故障,并突出显示所有类型的MPFM组件预计故障。它主动获取预设告警,从而防止内部MPFM部件故障。该告警是根据MPFM检测到的速率、DP (differential pressure)、放射性等关键参数产生的告警。通过使用监测解决方案,最大限度地减少昂贵的海上访问,并根据有问题的mpfm优化访问,实现了年度节省。作者将讨论一种基于实时解决方案的新开发的MPFM健康监测策略,推动从预防性维护概念向预测性维护概念的迁移,通过消除不必要的访问来降低成本并优化人力时间。
Multiphase Flowmeter Health Monitoring Strategy: Maximizing the Value of Real-Time Sensors and Automation for Industrial Revolution 4.0
Metering with multiphase flowmeters (MPFMs) is a well-proven intelligent field technology, which utilizes complex flow models to accurately measure multiphase flow (oil, gas, and water) on a real-time basis. The major realized benefits of utilizing MPFM real-time sensor data technology are reduced maintenance costs, optimized maintenance schedules, and improved safety via minimizing visits and predicting well performance.
MPFMs also have the capability to perform comprehensive real-time test validation in a short period of time, making them a valuable tool. Leveraging their capabilities, engineers can perform various production analysis scenarios remotely using continuous data streaming to reduce and ultimately eliminate reliance on operators and vendors in remote fields. Nevertheless, such MPFMs require frequent maintenance, which could be quite difficult to manage when having a large number of meters.
An in-house application was developed to support those objectives and to remotely monitor the health of all MPFMs on a real-time basis. The in-house analytics system comprises four modules: Field Overview, MPFM Overview, Well Test Management, and Alarm Management. The steps used to avail this kind of solution cover infrastructure requirements, visualization requirements, optimization, and prediction. The solution was designed as the major interface for engineers to proactively detect and prevent major MPFM component failures and highlight all types of projected MPFM component failures. It proactively harvests preset alarms, which leads to preventing internal MPFM parts from failing. These alarms are generated based on critical parameters measured by the MPFM such as rates, differential pressure (DP), and radioactive measurements. Annual savings are realized through use of the monitoring solution by minimizing costly offshore visits and optimizing the visits based on problematic MPFMs.
The authors will discuss a newly developed MPFM health monitoring strategy based on real-time solutions, driving migration from a preventative to a predictive maintenance concept to reduce costs and optimize manpower time by eliminating unnecessary visits.