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New State-of-the-Art Asset-Optimization Data Applications for Intelligent Completions in Digital Oilfields

机译:新的最先进的资产优化数据应用,用于数字油田的智能完成

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Information provided using intelligent completions in digital oil fields is increasing in importance, as it has the capability of minimizing the needs for custom data-gathering solutions as well as simplifying industry-data interfacing standards for multiple devices and systems. For assets using intelligent completions, solutions offered are attained by a combination of subsurface and surface or subsea sensors provided by several vendors. Challenges arise when attempting to manage the interfaces required for providing real-time data from all points of interest (i.e., subsurface choke positions, flow, pressures and temperatures, wellhead positions, subsea facility readings, etc.). This paper describes the design and implementation of an integrated data-applications system that can integrate data from multiple workflow sources for the purpose of maximizing field performance. The asset optimization applications acquire operating parameters from all points of interest, making them available to software modules designed to estimate key well- performance indicators. The asset-optimization application discussed here is an integrated system that performs the following five services. A data-interfacing methodology acquires data from multiple sources or directly from down-hole devices. The integration service converts the subsurface and surface data to engineering units of measured well parameters. The well performance service uses well PVT and device-integration service values to execute complex calculations, like virtual flow metering, water-cut estimates, etc. The human/machine/interface service provides visualization, trending, and querying. The connectivity service facilitates structured data transfer to field historians. The paper will explain how the system works and its implementation into fields of different scales and types to reduce information technology (IT) customization, simplify interfacing of multiple devices or systems, and accommodate evolutions in IT. Additional system benefits that included more efficient management of real-time data security, quality, redundancy, and mirroring will also be provided.
机译:在数字油田中使用智能完成提供的信息的重要性是越来越重要的,因为它具有最大限度地减少定制数据收集解决方案的需求,以及简化多个设备和系统的行业数据接口标准。对于使用智能完成的资产,所提供的解决方案通过多个供应商提供的地下和表面或海底传感器的组合来实现。在尝试管理从所有兴趣点提供实时数据所需的接口时出现挑战(即,地下扼流圈位置,流量,压力和温度,井口位置,海底设施读数等)。本文介绍了集成数据应用系统的设计和实现,该系统可以集成来自多个工作流源的数据,以便最大化现场性能。资产优化应用程序从所有兴趣点获取操作参数,使其可用于旨在估算关键良好性能指标的软件模块。这里讨论的资产优化应用程序是执行以下五种服务的集成系统。数据接口方法从多个源或直接从下孔设备获取数据。集成服务将地下和表面数据转换为测量井参数的工程单位。井的性能服务使用POWT和设备集成服务值来执行复杂的计算,如虚拟流量计量,水切估计等。人机/机器/接口服务提供可视化,趋势和查询。连接服务促进结构化数据传输到现场历史学家。本文将解释系统如何运作及其进入不同尺度和类型的字段,以减少信息技术(IT)定制,简化多个设备或系统的接口,并适应其的演变。还将提供附加的系统优势,包括更有效的实时数据安全性,质量,冗余和镜像。

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