起下钻作业的瞬态建模实现了起下钻过程的闭环极限控制,在保持井筒安全的同时降低了ILT

Pedro J. Arévalo, G. Becker, R. May, M. Forshaw, S. Grymalyuk, Glen Houghton, Morten Lien, S. Hovda, Kim Evensen, Randi Reber
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引用次数: 0

摘要

起下钻作业可能会占用很大一部分建井时间和相关成本。在过去的十年中,人们广泛开发和部署了实时起下钻应用,以优化起下钻参数,同时保持地层完整性。本文提出了一种系统,该系统利用起下钻行为的瞬态建模来确定最佳参数,以保障地层和钻机现场机械设备的完整性。该系统为每个支架的自动钻井控制系统(ADCS)提供起下钻边界。井筒的数字孪生,配备了基于物理的瞬态模型,可以估计钻柱进出井筒时允许的轴向速度和加速度。这些运动产生的压力波沿着井筒传播,可能会破坏地层的完整性。在规划阶段就准备好并部署在实时钻井环境中的数字孪生体,使用智能触发算法自动更新模型并优化仿真结果。自动化系统通过聚合层使用预测的限制,以改进适合目的的跳闸应用程序。自动化系统找到起下钻限值的最佳建议,并直接在钻机控制系统中实时更新。起下钻监测系统自动连续发布每个机架的最佳速度和加速度起下钻限值,并将其作为设定点发送给ADCS,以定义安全操作包线(SOE)。与非自动化部署相比,这种方法可以大大减少总起下钻时间。此外,在保持地层完整性和地面设备完整性的同时,减少了隐形损失时间(ILT)。最后,减少执行跳闸过程所需的能量,从而减少了该过程中涉及的碳排放量。一组案例研究证实了该方法的有效性,并说明了其好处。一个案例研究讨论了采用钻井自动化应用(如起下钻顾问)的主题。另一个案例展示了互操作性的概念,以欧洲钻机模拟器的部署为例,使用起下钻应用程序执行闭环控制,将速度和加速度限制连续写入ADCS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transient Modeling of Tripping Operations Enables Closed-Loop Limit Control of Tripping Processes to Reduce ILT While Maintaining Wellbore Safety
Tripping operations can take up a significant portion of well construction time and the associated cost. In the last decade, there has been extensive development and deployment of real-time tripping applications to optimize tripping parameters while maintaining formation integrity. This paper presents a system that utilizes transient modeling of tripping behavior to determine the optimum parameters that safeguard the integrity of the formation and the mechanical equipment at the rig site. The system delivers tripping boundaries to automated drilling control systems (ADCS) for every stand. A digital twin of the wellbore, equipped with physics-based transient models, estimates the permissible axial velocities and accelerations developed when running drillstring in and out the wellbore. These motions develop pressure waves which travel along the wellbore and which can compromise formation integrity. The digital twin, prepared in the planning phase and deployed in the real-time drilling environment, uses smart triggering algorithms to automatically update the models and refine simulation results. Automation systems consume the predicted limits via an aggregation layer to refine fit-for-purpose tripping applications. The automation system finds optimum proposals of tripping limits and updates them directly in the rig control system in real-time. The trip monitoring system automatically and continuously publishes optimum velocity and acceleration tripping limits per stand and transmits them as set points to the ADCS to define a safe operating envelope (SOE). This approach can greatly reduce the overall tripping time in comparison to non-automated deployments. Furthermore, the reduction of invisible lost time (ILT) takes place while maintaining the integrity of the formation, and the integrity of the surface equipment. Finally, reduction of the energy required to perform the tripping process consequently decreases the amount of carbon emissions involved in the process. A set of case studies confirm the effectiveness of the approach and illustrate its benefits. A case study addresses the topic of adoption of drilling automation applications such as the tripping advisor. Another case presents the concept of interoperability using as example a deployment on a rig simulator setup in Europe to perform closed-loop control using the tripping application to write velocity and acceleration limits continuously to the ADCS.
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