钻井作业的数字孪生——迈向基于云的作业规划

L. Pivano, D. Nguyen, K. Ludvigsen
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引用次数: 6

摘要

深水钻井作业大多采用动态定位(DP)模式。在恶劣环境和浅水条件下,推力器辅助位置系泊配置通常是首选,因为系泊线提供了额外的帮助来抵消环境载荷。钻井作业,无论是纯DP还是推进器辅助位置系泊模式,都受到船舶保持位置和航向在所需精度范围内的能力的限制。此外,在升沉,横摇和俯仰运动必须在预定的限制。这些限制因要执行的操作类型而异。例如,与通过隔水管进行测井或钻井作业相比,重新连接低隔水管套件具有更严格的运动限制。所有这些行动都需要仔细规划;对船舶的运动和保持性能进行预估是至关重要的,同时也要考虑到计划维修。本文的目的是通过使用半潜式钻井平台的数字孪生体进行基于云的时域模拟,分享规划DP钻井作业的经验。数字孪生是资产的虚拟表示,从早期设计到构建和运营都在使用,在其整个生命周期中都易于维护和访问。数字孪生可以复制资产的许多方面;在规划DP钻井作业的情况下,我们的数字孪生包括时域模型,用于运行模拟和预测船舶运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin for Drilling Operations – Towards Cloud-Based Operational Planning
Most drilling operations in deep water are performed in Dynamic Positioning (DP) mode. In harsh environments and shallow water conditions, thruster assisted position mooring configurations are often the preferred choice as the mooring lines provide an extra help to counteract the environmental loads. Drilling operations, both in pure DP or thruster-assisted position mooring modes, are limited by the ability of the vessel to maintain position and heading within the required accuracy. In addition, the motion in heave, roll and pitch must be within predefined limits. These limits vary between the type of operation to be performed. For example, reconnecting the low marine riser package has much stricter motion limitations compared to logging or drilling through riser operations. All these operations need to be carefully planned; and having estimate in advance of the vessel motion and station-keeping performance could be of vital importance, also considering planned maintenance. The aim of this paper is to share experiences in planning DP drilling operations by using cloud-based time-domain simulations performed with a digital twin of a semi-submersible drilling rig. A digital twin is a virtual representation of an asset, used from early design through building and operations, maintained and easily accessible throughout its lifecycle. A digital twin can replicate many aspects of the asset; in the case of planning DP drilling operations, our digital twin includes time-domain models for running simulations and predicting the vessel motion.
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