井控模拟器作为真实场景的数字孪生体的开发和使用案例研究

Francesco Curina, Ali Talat Qushchi, Ahmad Aldany
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引用次数: 1

摘要

石油工业中的模拟器主要用于培训目的,尽管它们呈现出不同的应用,如数字双胞胎。在这方面,模拟器必须接近井环境,以反映操作动作和反应。本文介绍了一个井控模拟器的案例研究,该模拟器被开发成数字孪生模型,在将其应用于物理井之前,操作人员可以在安全的环境中尝试不同的场景。为了涵盖作业的各个方面,模拟器既要模拟地面设备,也要模拟井下环境。数值模拟技术和液压模拟器用于设计作业的井响应。针对大多数可能出现的井下问题和设备故障,包括电气和液压故障,建立了不同的方案。该研究比较了三种不同类型的模拟(井控、程序和两者的集成)中常见的一组预先确定的kpi。该研究的目标是收集使用模拟器时产生的数据,同时它复制了现实生活中的情况。该钻机和井的虚拟模型可用于校准SPM、RPM和WOB等主要钻井参数。数字孪生还用于优化操作程序,提高钻井人员的性能和效率,并缩短他们对可能出现的问题的响应时间。结果表明,当钻机知识与井下反馈经验相结合时,性能有所提高。这证明,通过复制他们自己的设备来训练机组人员,可以在准备就绪和更快的反应方面有一个重大飞跃,错误最少。此外,通过虚拟操作,作业人员可以在处理物理井之前发现任何可能存在的问题。这反过来又有助于减少错误,保护井和设备的完整性。本文讨论了将井下环境行为集成到一个完整的数字孪生模型中,该模型将为井控、维护、调度和其他关键决策的常规案例研究提供重要的数据来源。这种新方法有望成为钻井行业未来模拟技术的主要竞争者,并显示了其在降低风险和错误方面的重要性。
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A Case Study for the Development and Use of a Well Control Simulator as a Digital Twin of a Real Scenario
Simulators in the petroleum industry have been used mainly for training purposes even though they present different applications like digital twins. In this regard, a simulator must approximate the well environment to reflect operative actions and reactions. This paper describes a case study where a well control simulator has been developed to be used as a digital twin where operators may try different scenarios in a safe environment before applying them to the physical well. To cover all aspects of the operation, the simulator should simulate surface equipment as well as a downhole environment. Numerical modeling techniques and hydraulic simulators are used to design the well response to operations. Different scenarios were established to cover most of the possible downhole problems and equipment malfunctions including electrical and hydraulic failures. The study compares a pre-determined set of KPIs common to three different types of simulation: well control, procedural and an integration of both. The target of the study is to collect the data resulting from the use of the simulator while it replicates a real-life situation. This virtual model of the rig and the well can be used to calibrate the main drilling parameters like SPM, RPM and WOB. The digital twin is also used to optimize operational procedures and improve performance and efficiency of rig crews as well as reduce their response time to possible problems. The results show an increase in performance when the knowledge of the rig is combined with the downhole feedback experience. This proves that training of the crew by reproducing their own equipment allows for a major jump in readiness and faster response with minimal mistakes. In addition, conducting the operation virtually allows the crew to uncover any possible issues before tackling the physical well. This in turn helps to reduce errors and safeguard both well and equipment integrity. This paper discusses the integration of the use of downhole environment behavior into a complete digital twin which will play an important role for providing a source of data for regular case studies concerning well control, Maintenance, Scheduling and other critical decisions. This new method candidates itself as a major contender for the future of simulation in the drilling business and shows the importance of that for reducing risks and errors.
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