Dynamic Modeling and Design Optimization of Cyclonic Autonomous Inflow Control Devices

S. Gurses, G. Chochua, A. Rudic, Amrendra Kumar
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引用次数: 6

Abstract

Autonomous inflow control devices (AICDs) have recently been introduced in the petroleum industry to restrict the production of unwanted fluids, namely water and gas, much more effectively than conventional inflow control devices (ICDs). As with ICDs, AICDs are installed downhole along the completion string to first delay water/gas coning and then restrict their influx, without well intervention, if/when coning such occurs. Unlike ICDs, AICDs selectively choke back water and gas significantly more so than oil. A novel cyclonic AICD was recently developed using computational fluid dynamics (CFD) driven design optimization. The cyclonic AICD's unique internal geometry increases the flow resistance to unwanted fluids based on how their viscosities and densities differ from oil, as initially predicted using CFD and subsequently validated by extensive, carefully controlled single- and two-phase flow tests. The resulting excellent match obtained between CFD and such laboratory tests yielded accurate mathematical models for predicting flow performance over a broad range of flow rates and oil, water and gas properties. The flow performance models were then incorporated into a state-of-the-art dynamic reservoir simulator with multi-segmented wellbore capability to compare the production performance over time for the same well but completed with no ICDs, conventional ICDs, and cyclonic AICDs. A synthetic but realistic three- dimensional (3-D) reservoir model has used that allowed oil, gas and water production. Multiple sensitivity runs were initially performed to optimize the number of compartments using packers for annular isolation, and the number of ICDs per compartment. Once these parameters were optimized, only the ICD type was varied for performance comparison. The results of this systematic, multi-step process, as presented herein, demonstrate that the cyclonic AICD adds significant value to the improvement of oil production by controlling unwanted fluids, such as water and gas, and by preserving the reservoir energy.
旋流式自主入流控制装置的动态建模与优化设计
自动流入控制装置(aicd)最近被引入石油行业,以限制不需要的流体(即水和气体)的产生,比传统的流入控制装置(icd)更有效。与icd一样,aicd沿着完井管柱安装在井下,首先可以延迟水/气的锥入,然后限制水/气的流入,如果发生这种情况,则无需进行井干预。与icd不同的是,aicd选择性地阻塞水和气,而不是油。利用计算流体动力学(CFD)驱动的设计优化,研制了一种新型的气旋式AICD。旋涡式AICD独特的内部几何结构增加了对不需要流体的流动阻力,这取决于它们的粘度和密度与石油的差异,正如最初使用CFD预测的那样,随后通过广泛、仔细控制的单相和两相流动测试进行了验证。CFD与此类实验室测试之间的完美匹配产生了精确的数学模型,用于预测大流量范围内的流动性能以及油、水和气的性质。然后将流动特性模型整合到具有多段井眼能力的最先进的动态油藏模拟器中,以比较同一口井在不使用icd、常规icd和旋流式aicd的情况下随时间的生产性能。使用了一种合成的但真实的三维(3-D)储层模型,该模型考虑了油、气和水的生产。最初进行了多次灵敏度下入,以优化使用封隔器进行环空隔离的隔室数量,以及每个隔室的icd数量。优化完这些参数后,为了进行性能比较,只改变ICD类型。该系统的多步骤过程的结果表明,气旋式AICD通过控制不需要的流体(如水和气)并保存储层能量,对提高石油产量具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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