应用级联动力学模型预测油井钻柱疲劳寿命

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY Applications in engineering science Pub Date : 2023-09-01 DOI:10.1016/j.apples.2023.100142
Mihiran Galagedarage Don, Geoff Rideout
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引用次数: 0

摘要

油井钻柱疲劳寿命的早期估计降低了与钻柱疲劳失效相关的风险。在本研究中,采用垂直井钻柱的低阶计算高效键合图模型和钻杆螺纹连接的部件级高阶有限元模型来预测给定钻杆的疲劳损伤。键合图是一个使用牛顿-欧拉公式和物体固定坐标开发的三维集总分段模型。使用有限元建模模拟对其进行参数化。顶级模型的应力历史将应用于包含螺纹几何图形等详细信息的零部件级模型。然后,使用开源有限元分析代码进行多轴、非比例和可变振幅(MNV)疲劳估计。然后,在钻柱设计案例研究中演示了疲劳预测方法,该方法优化了井筒中振动稳定器的位置,以避免严重振动,同时最大限度地减少疲劳损伤。稳定器的最佳布置预测,在最坏的情况下,最脆弱部件的疲劳寿命将增加200%。
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Fatigue life prognosis of an oil well drill string using cascaded dynamic models

Early estimation of the fatigue life of an oil well drill string reduces the risk associated with drill string fatigue failures. In this study, a low-order computationally efficient bond graph model of a vertical well drill string and a component-level higher-order finite element model of a drill pipe threaded connection are employed to predict the fatigue damage of a given drill pipe. The bond graph is a 3D lumped segment model developed using the Newton–Euler formulation and body fixed coordinates. It is parameterized using finite element modelling simulations. The stress history from the top-level model is applied to the component-level model that contains details such as threaded geometry. Then, a multi-axial, non-proportional, and variable amplitude (MNV) fatigue estimation is performed using an open-source finite element analysis code. The fatigue prognosis approach is then demonstrated in a drill string design case study that optimizes the placement of vibration stabilizers in the wellbore to avoid severe vibrations while minimizing fatigue damage. Optimal placement of stabilizers predicts a 200% increase in fatigue life of the most vulnerable component with reference to the worst-case scenario.

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来源期刊
Applications in engineering science
Applications in engineering science Mechanical Engineering
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
68 days
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