基于分布集总建模技术的油井钻井系统仿真

P. Athanasiou, Y. Hadi
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引用次数: 0

摘要

沸腾良好的碳氢化合物的强度和扭矩是至关重要的。煮沸井是发现和生产石油和天然气的最关键步骤之一。由于钻井深度可能高达7000米,因此钻井过程成本高昂。对于碳氢化合物公司来说,沸腾过程中的任何延迟(故障时间)都要花费大量资金。各种锅炉参数持续跟踪和调节,以避免钻井延误。本文主要研究底部钻具组合(BHA)粘滑产生的振动。采用集总参数模型和组合分布集总(D-L)参数模型两种建模方法,并与实际测量性能进行了比较。D-L模型被发现更加精确,特别是对于长弦。通过模拟,介绍了最全面的建模方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Oil Well Drilling System Using Distributed–Lumped Modelling Technique
The strengths and torque of well-boiling hydrocarbons are of utmost significance. Boiling a well is one of the most critical steps in the discovery and production of oil and gas. The well’s boiling process is expensive because the drilling depth can be as much as 7000 meters. Any delay (breakdown time) in boiling costs a lot of money for hydrocarbon firms. Various boiler parameters are continuously tracked and regulated to avoid drilling delays. This paper focuses on the vibrations occurring at the bottom hole assembly (BHA) stick-slip. Two modelling methods, the lumped parameter model and the combination of the distributed–lumped (D–L) parameter model, were used and compared to the actual measurement performance. The D–L model was found to be more precise, particularly for long strings. Using the simulations, the most comprehensive modelling methodology is introduced.
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