Digital twin and contact analysis of ultra-long distance coiled tubing operation structures

Wenlan Wei, Hao Qu, Jiarui Cheng, Wenyuan Wang, Maliang Wang
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Abstract

Background: Coiled tubing operation is a high-quality operation method that considers both cost and efficiency in current oil and gas well operations. There is a significant difference between the calculation and prediction before operation and the actual operation. The reason is that the complex wellbore trajectory makes it difficult to evaluate the contact state between coiled tubing and wellbore, resulting in a significant error in the pipe string mechanics calculation and analysis. Methods: Aiming at the contact problem between coiled tubing and wellbore in the process of coiled tubing operation, the digital twin unit of coiled tubing and wellbore is established in this study. By constructing a feedback correction collision contact algorithm, the contact state of coiled tubing and casing under different three-dimensional trajectory models was simulated. Results: The research results show that the digital twin coiled tubing and contact algorithm can effectively predict the contact state of coiled tubing operations; the verification model shows that the contact algorithm can accurately analyze the contact state of different well trajectories. Conclusions: The digital twin of the coiled tubing operation structure and its contact algorithm can effectively solve the problem of deterministic friction state in the process of mechanical calculation of the tubing string, which has important guiding significance and engineering value for the mechanical calculation and operation safety analysis of coiled tubing operation.
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超长距离连续油管作业结构的数字孪生与接触分析
背景:在当前的油气井作业中,连续油管作业是一种兼顾成本和效率的高质量作业方法。运行前的计算和预测与实际运行有显著差异。原因是复杂的井筒轨迹使得连续油管与井筒的接触状态难以评估,导致管柱力学计算和分析存在较大误差。方法:针对连续油管作业过程中连续油管与井筒的接触问题,建立了连续油管与井筒的数字孪生单元。通过构建反馈修正碰撞接触算法,模拟了不同三维轨迹模型下连续油管与套管的接触状态。结果:研究结果表明,数字双连续油管与接触算法能有效预测连续油管作业的接触状态;验证模型表明,该接触算法能够准确分析不同井眼轨迹的接触状态。结论:连续油管作业结构数字孪生及其接触算法可有效解决管柱力学计算过程中摩擦状态的确定性问题,对连续油管作业力学计算和作业安全性分析具有重要的指导意义和工程价值。
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Digital Twin
Digital Twin digital twin technologies-
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期刊介绍: Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.
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