砂冲蚀SAGD生产装置流量控制装置性能预测

M. Irani
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引用次数: 0

摘要

在过去的十年中,蒸汽辅助重力排水(SAGD)热采工艺已经在加拿大西部油砂的一系列应用中成功实现了商业化。防止或修复SAGD生产井(由于槽尾管侵蚀或在井副使用寿命后期产生大量气/蒸汽)需要改变完井设计的基础,以适应这些应用的特定井挑战,并促进泄油控制,同时克服由于防砂功能受损或堵塞造成的额外压降。流量控制装置(fcd)在SAGD生产井中具有显著的提高采收率的潜力。然而,对于大多数运营商来说,fcd的效果好坏参半,甚至是负面的,这主要与设计不良或侵蚀影响有关。美国石油协会推荐实践14E (API-14E)提出了一种评估侵蚀的常用方法。虽然由于API-14E方程的简单性变得流行,但它的预测相当值得怀疑。此外,通过时间量化FCD的可靠性,以及由于侵蚀和堵塞导致的性能退化,是了解它们与油藏长期相互作用的关键。目前,分布式温度传感(DTS)监测被广泛用于SAGD生产商,以改善对其长期性能的解释。虽然DTS有助于识别热点,但不能识别蒸汽闪蒸。为了优化FCD,作业者还需要知道每个FCD的流量,而在此之前,分布式声学传感(DAS)采集无法提供帮助。这项工作是之前讨论SAGD生产商近井闪光的出版物的延续(Irani et al, 2020)。正如之前的文章所讨论的,近井闪蒸会降低液相的相对渗透率,从而在较低的排液速率下形成稳定的新平衡。但它也会在地表产生更高的蒸汽率。蒸汽流入对FCDs的性能有双重影响,首先,提高了蒸汽质量,产生了高堵塞,其次,它在砂面造成了砂的不稳定性,导致了高侵蚀率。为了设计和优化SAGD的fcd,有必要使用实际的现场数据来描述受侵蚀的不同fcd。在本研究中,为了估计FCD性能随侵蚀的变化情况,提出了一个数学框架,同时考虑了DTS数据和井生命周期内的产量变化。将该数学模型的预测结果与基于井下超声成像技术测量的实际侵蚀位置进行了比较。而且只有几米远。实施这种类型的分析可以帮助作业者评估不同类型的fcd的有效性,无论它们主要是基于动量还是摩擦的装置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Flow Control Devices Performance in SAGD Producers Subjected to Sand Impact Erosion
Over the last decade, the Steam Assisted Gravity Drainage (SAGD) thermal recovery process has been successfully commercialized in a range of applications located in the oil sands of Western Canada. Prevention or remediation of SAGD production wells due to slotted liner erosion or high gas/steam production later in the life of the well pair requires a change in basis of design of the completion that is compatible with specific well challenges of these applications and facilitates drainage control while overcoming additional pressure drops due to impaired or plugged-off sand control. Flow Control Devices (FCDs) have demonstrated significant potential for improving recovery in SAGD production wells. However, for most operators the results with FCDs have been mixed or negative, that mostly correlated to either bad design or impact of erosion. A common practice to evaluate erosion is correlation suggested by American Petroleum Institute recommended practice 14E (API-14E). Although due to simplicity API-14E equation became popular, its predictions are quite questionable. Furthermore, quantifying FCD reliability through time and degradation of its performance due to erosion and plugging is key to understand their interaction with reservoir in long-run. Currently distributed temperature sensing (DTS) monitoring are vastly used for SAGD producers to improve the interpretation on their long-term performance. Although DTS helps to identify the hot-spots but it cannot identify steam flashing. In an effort to optimize FCDs operators also required to know the flowrates at each FCD, and till this point distributed acoustic sensing (DAS) acquisitions could not be helpful. This work is a continuation of a previous publication discussing near wellbore flashing in SAGD producers (Irani et al., 2020). As discussed in previous publication the near wellbore flashing causes a reduction in the relative permeability of the liquid phase, which creates a new equilibrium that stabilizes at lower drainage rates. But it also yields to higher steam rates at sandface. Steam inflow has two-fold effect on FCDs performance, firstly, increase in steam quality yields to high chocking, and secondly, it creates sand-instability at the sandface that yields to high erosion rates. In order to design and optimize FCDs for SAGD, it is necessary to characterize different FCDs subjected to erosion using actual field data. In this study, to estimate how FCD performance has evolved with respect to erosion, the mathematical framework is presented that honors both DTS data and measured production evolution during the life of the wells. The predictions of this mathematical model were compared with actual erosion locations that was measured with downhole ultrasound-based imaging technique. And it was only few meters away. Implementation of this type of analysis can help operators in evaluating the effectiveness of different type of FCDs, whether they are primarily momentum- or frictional-based devices.
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