基于分级风险的SAGD流控装置抗冲蚀性评估方法

S. Prasad, T. Zahacy
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引用次数: 0

摘要

SAGD作业公司正在积极地在SAGD生产井中安装流入控制装置(icd),以实现低或“负”亚冷值的生产,从而最大限度地降低压降,提高流体产量,优化SAGD经济效益。在高蒸汽条件下作业可能会使icd暴露于高速蒸汽携带的砂粒中,造成侵蚀和尾管失效。研究人员开发了一种分阶段的方法来评估候选icd的相对侵蚀风险,包括第一阶段的定性评估,然后是分析侵蚀计算和计算流体动力学(CFD)建模。在第一阶段的定性评估中,预期的流体流动路径、相对流体速度和ICD外壳设计等因素被用作估计相对侵蚀率的输入,确定预计侵蚀率较高的ICD表面,并根据相对侵蚀风险对ICD候选者进行排名。潜在侵蚀风险的评估包括考虑预测的侵蚀严重程度和侵蚀磨损的可能后果,其中可能包括失去预期的流动控制响应或损坏ICD本体或外壳的完整性。第一阶段的结果是一份排名靠前的ICD设计候选名单。在第二阶段,然后使用分析侵蚀模型来量化确定目标表面的侵蚀速率。在第一阶段确定的流速和冲击角与流动关系分析相结合,如流动控制元件下游的膨胀射流方程,作为选定侵蚀模型的输入。第二阶段的结果是一份最新的ICD设计名单。最后,对一小组ICD候选设计进行了固体颗粒和流体耦合多相CFD模拟,以获得流动控制元件内部和设计所有表面上侵蚀的位置和严重程度的详细结果。这一阶段的结果是确定易受侵蚀的表面和速率,为选择合适的ICD设计提供信息。在每个阶段,考虑的ICD候选设计的数量都会减少。通过这种方式,更简单的分析方法(定性评估)可以很容易地应用于大量的设备,而更密集的建模方法(多相CFD)则保留给较小的设计候选集。该方法基于一系列更深入的分析方法,包括CFD分析阶段的颗粒路径和侵蚀位置,这些可能无法通过更高级的分析方法识别。这些CFD分析结果可以用来帮助提高分析侵蚀模型的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Staged Risk-Based Approach for Assessing Erosion Resistance of SAGD Flow Control Devices
SAGD operators are actively installing Inflow Control Devices (ICDs) in their SAGD production wells to enable production at low or ‘negative’ subcool values in order to maximize drawdown, increase fluid production rates and optimize SAGD economics. Operating the wells under higher vapour conditions could expose the ICDs to high velocity steam carrying sand particles, causing erosion and liner failure. A staged approach has been developed for assessing the relative erosion risk of candidate ICDs, including a stage one qualitative assessment, followed by analytical erosion calculations and Computational Fluid Dynamics (CFD) modeling. In the first stage qualitative assessment, factors such as the anticipated fluid flow path, relative fluid velocity, and ICD housing design are used as inputs to estimate relative erosion rates, identify ICD surfaces where erosion rates are anticipated to be high and to rank ICD candidates based on relative erosion risk. The evaluation of potential erosion risk included consideration of both the predicted erosion severity and the probable consequences of erosive wear, which could include loss of the desired flow control response or damage to the integrity of the body or housing of the ICD. The result of the first stage is a short-list of the top-ranked ICD design candidates. In the second stage, analytical erosion models are then used to quantify erosion rates on identified target surfaces. Flow velocities and impact angles identified in the first stage are used with analytical flow relationships, such as equations for expansion jets downstream of the flow control elements, as inputs to selected erosion models. The result of this second stage is an updated short list of top-ranked ICD designs. Finally, coupled solid particle and fluid multiphase CFD simulations are conducted on a small set of ICD design candidates to obtain detailed results on the location and severity of erosion within the flow control element and on all the surfaces of the designs. The results of this stage are specific identification of susceptible erosion surfaces and rates, providing information for the selection of the appropriate ICD design. At each stage, the number of ICD candidate designs under consideration is reduced. In this manner, simpler methods of analysis (qualitative assessment) may be readily applied to a large number of devices, while more intensive modeling approaches (multiphase CFD) are reserved for a smaller set of design candidates. This approach provides insights into erosion risk based on successively more in-depth analysis methods, including particle paths and erosion locations in the CFD analysis stage which may not be identified using higher-level analytical methods. These results of the CFD analysis could then be used to help improve accuracy when applying analytical erosion models.
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