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Modeling of Expandable Slotted Tubulars

机译:可扩展开槽管的建模

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摘要

Advanced technologies are implemented for successful completion of wells and have become paramount objective especially in high-risk, high-cost environments, such as ultradeep water extended reach wells. Challenges are associated not only with complex well architecture but also completing the wells successfully using slotted tubulars, slotted liners and etc. Expandable slotted tubulars have been found to improve well production, reduce sand production and thereby reduce well costs compared with conventional approaches to sand control. While performing these completion operations the maximum running hook loads and static drag encountered during pre and post expansion process are indispensable for making appropriate well-completion decisions. Comparatively little research or modeling has been done to estimate these operating parameters. Traditionally, operating parameters such as torque and drag are estimated using the traditional torque and drag calculations with adjusted friction factors. This will result in under estimation of the values and pose problem in successfully completing the zone. Unduly conservative design or under estimation may pose poor result and lead to undesirable increase in the well cost and may be significant in challenging wells. To avoid this, a simple mathematical model has been developed and presented in this paper. Several simulations were carried out with synthetic as well actual data and have been found that the model prediction is very good as compared to the actual data. This paper documents the comparison between the predicted mathematical simulation results with the actual data.
机译:实施先进技术以成功完井,并已成为首要目标,尤其是在高风险,高成本的环境中,例如超深水延伸井。挑战不仅与复杂的井结构有关,而且与使用开槽管,开槽衬管等成功完成井相关。与传统的防砂方法相比,发现可膨胀的开槽管可提高井产量,减少出砂量并因此降低井成本。在执行这些完井作业时,在进行适当的完井决策时,必不可少的是在展开前和展开后过程中遇到的最大吊钩载荷和静态阻力。估计这些工作参数的研究或建模相对较少。传统上,使用传统的扭矩和阻力计算并调整摩擦系数来估算扭矩和阻力等运行参数。这将导致对值的估计不足,并在成功完成区域中带来问题。过度保守的设计或估计不足可能会导致不良结果,并导致井成本不期望的增加,并且在挑战性井中可能很重要。为避免这种情况,本文开发并提出了一个简单的数学模型。使用合成数据和实际数据进行了多次仿真,发现与实际数据相比,模型预测非常好。本文记录了预测的数学模拟结果与实际数据之间的比较。

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