Feedback Between Gravity and Viscous Forces in Two-phase Buckley-Leverett Flow in Randomly Heterogeneous Permeability Fields

P. Alikhani, A. Guadagnini, F. Inzoli
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Abstract

Summary Data on hydrocarbon reservoir attributes (e.g., permeability, porosity) are only available at a set of sparse locations, thus resulting (at best) in an incomplete knowledge of spatial heterogeneity of the system. This lack of information propagates to uncertainty in our evaluations of reservoir performance and of the resulting oil recovery. We consider a two-phase flow setting taking place in a randomly heterogeneous (correlated) permeability field to assess the feedback between viscous and gravity forces in a numerical Monte Carlo context and finally characterize oil recovery estimates under uncertainty for a water flooding scenario. Our work leads to the following major conclusions: Uncertainty in the spatial distribution of permeability propagates to final oil recovery in a way that depends on the feedback between gravity and viscous forces driving the system. Uncertainty of final oil recovered (as rendered in terms of variance) is smallest for vertical flows, consistent with the observation that the gravity effect is largest in such scenarios and is dominant in controlling the flow dynamics. Uncertainty of final oil recovered tends to be higher when there is competition between the effects of gravity and viscous forces, the latter being influenced by the strength of the spatial variability of permeability.
随机非均质渗透率场中两相Buckley-Leverett流重力与粘滞力的反馈
关于油气储层属性(如渗透率、孔隙度)的数据只能在一组稀疏的位置获得,因此(充其量)只能对系统的空间非均质性有一个不完整的了解。这种信息的缺乏增加了我们对储层动态和采收率评估的不确定性。我们考虑了发生在随机非均质(相关)渗透率场中的两相流设置,以在数值蒙特卡罗环境中评估粘性和重力之间的反馈,并最终表征了水驱场景下不确定情况下的采收率估计。渗透率空间分布的不确定性以一种依赖于驱动系统的重力和粘性力之间的反馈的方式传播到最终的采收率。在垂直流动中,最终采收率的不确定性(以方差表示)最小,这与重力效应在这种情况下最大的观察结果一致,并且在控制流动动力学方面占主导地位。当重力和粘性力相互竞争时,最终采收率的不确定性往往更高,粘性力受渗透率空间变异性强弱的影响。
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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