Scale Risk Assessment and Novel Coating for Smart Completion: Scale Simulation and CFD Modelling Approach

H. Guan, Reda Bouamra, T. Lindvig, J. Vernus
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Abstract

There is an increasing demand in using intelligent well completions such as ICV (Inflow Control Valve) due to increased reservoir and production complexity in subsea fields. Failure of a functional ICV due to scale deposition can cause severe production impairment, R&D efforts therefore implemented to qualify a novel coating material which will be used in ICV to prevent scale formation and adhesion. Depending on the geometry of ICV, scaling deposition risks varies; in general increased carbonate scaling are observed due to greater pressure drop gradient. This paper firstly evaluates the scaling risks over the field lifetime for a pre-salt carbonate reservoir, much increased scaling potential is identified across the region of the ICV which necessities the use of a novel coating. Special laboratory apparatus that simulate the hydrodynamic conditions is designed and tested based on CFD (Computational Fluid Dynamics) results. Intensive modelling using variety of scale software as well as CFD approach are carried out to assess scale risks over the field lifetime, identify the fluid dynamic behavior around the ICV and to investigate the scale formation and adhesion mechanisms and differences onto non-coated vs. coated surfaces. Comparative CFD modelling and laboratory testing results on coated and non-coated surfaces illustrates the much reduced scale accumulation and depositions onto coated materials. CFD modelling of the non-coated vs. coated coupon reactor indicates that the coated surface introduce higher velocity and less turbulence kinetic energy therefore reduce or eliminate surface accumulation and adhesion of scale particles. Lower velocity is observed upstream the ICV choke and around the inflow point, these areas are more prone for scale formation which leads to solid accumulation in the near wellbore region. This paper highlights the advantages of using advanced modelling techniques (including CFD and integrated PipeSim-ScaleChem models) to assist the selection of realistic testing conditions, to guide the high value test equipment design and to reveal the scaling mechanisms. The implementation of this novel technology helps to mitigate scaling problem and enhance the service longevity of smart completion tool, in particularly for severe scaling fields.
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智能完井的结垢风险评估和新型涂层:结垢模拟和CFD建模方法
由于海底油田储层和生产复杂性的增加,对ICV(流入控制阀)等智能完井的需求越来越大。由于结垢沉积导致ICV功能失效可能会导致严重的生产损害,因此研发人员正在努力鉴定一种新型涂层材料,该材料将用于ICV,以防止结垢形成和粘附。根据ICV的几何形状,结垢风险有所不同;一般来说,由于压降梯度增大,碳酸盐结垢增加。本文首先评估了盐下碳酸盐岩油藏在整个油田寿命期间的结垢风险,发现整个ICV区域的结垢潜力大大增加,这需要使用一种新型涂层。根据计算流体力学(CFD)的结果,设计并测试了模拟水动力条件的专用实验室装置。使用各种结垢软件和CFD方法进行密集建模,以评估整个油田生命周期内的结垢风险,确定ICV周围的流体动力学行为,并研究结垢形成和粘附机制,以及在未涂覆和涂覆表面上的差异。在涂层和非涂层表面上进行的CFD模型和实验室测试结果对比表明,涂层材料上的积垢和沉积大大减少。对未涂覆和涂覆复合反应器的CFD建模表明,涂覆表面引入了更高的速度和更小的湍流动能,从而减少或消除了表面堆积和结垢颗粒的粘附。ICV节流阀上游和流入点附近的速度较低,这些区域更容易形成结垢,从而导致近井区域的固体堆积。本文强调了利用先进的建模技术(包括CFD和集成的PipeSim-ScaleChem模型)来帮助选择真实的测试条件,指导高价值测试设备的设计和揭示缩放机制的优势。这项新技术的实施有助于缓解结垢问题,延长智能完井工具的使用寿命,特别是在严重结垢的油田。
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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