赵修文,尹虎,李黔. 钻进参数自适应调控数字孪生系统架构[J]. 石油钻探技术,2024,52(5):1-8. DOI: 10.11911/syztjs.2024092
引用本文: 赵修文,尹虎,李黔. 钻进参数自适应调控数字孪生系统架构[J]. 石油钻探技术,2024,52(5):1-8. DOI: 10.11911/syztjs.2024092
Xiuwen Zhao, Hu Yin, Qian Li. Architecture of a Digital Twin-Based Adaptive Control System for Drilling Parameters[J]. Petroleum Drilling Techniques, 2024, 52(5):1-8. DOI: 10.11911/syztjs.2024092
Citation: Xiuwen Zhao, Hu Yin, Qian Li. Architecture of a Digital Twin-Based Adaptive Control System for Drilling Parameters[J]. Petroleum Drilling Techniques, 2024, 52(5):1-8. DOI: 10.11911/syztjs.2024092

钻进参数自适应调控数字孪生系统架构

Architecture of a Digital Twin-Based Adaptive Control System for Drilling Parameters

  • 摘要: 在智能化钻井背景下,传统的司钻调控钻进参数的钻井模式已经无法满足钻进参数自适应调控的需求,因数字孪生技术具有实时同步、忠实映射和高保真度的特性,因而构建钻进参数自适应调控数字孪生系统,与智能钻井设备、智能终端相结合,可实现钻机自主送钻和自主定向。为此 ,在介绍钻进参数自适应调控技术架构及其工艺流程的基础上,设计了基于数字孪生技术的钻进参数自适应调控系统架构,包括物理钻井平台、虚拟钻井平台、钻井孪生数据、服务应用层和通信连接层5个要素,并从数字孪生系统的构建、演化及更新3方面阐述了钻进参数自适应调控数字孪生系统的运行机制。分析了关键理论技术需求。研究表明,钻进参数自适应调控数字孪生系统实现了钻进参数自适应调控技术和智能钻机、智能设备深度融合,推动了数字孪生技术在钻井工程中的应用,对于实现智能化钻井有重要意义。

     

    Abstract: In order to achieve intelligent drilling technology and promote the development of digital twin technology in drilling engineering, this paper introduces digital twin technology to construct an architecture for adaptive control of drilling parameters. In this context, we define the adaptive control technology for drilling parameters and its workflow, and analyze the digital twin requirements for adaptive control technology. Combining these requirements, we design an architecture for adaptive control of drilling parameters based on digital twins, which includes five components: physical drilling platform, virtual drilling platform, drilling twin data, service applications, and communication connections. We elucidate the operational mechanism of the digital twin-based adaptive control system for drilling parameters from three aspects: the construction, evolution, and updates of the digital twin system. Furthermore, we analyze the key theoretical and technical requirements for the adaptive control system of drilling parameters. The research shows that the digital twin-based adaptive control system for drilling parameters integrates adaptive control technology with intelligent drilling rigs and equipment, promoting the development of digital twin technology in drilling engineering and significantly contributing to the realization of intelligent drilling.

     

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