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A Pore-Scale Network Modeling Study of Gravitational Effects During Solution Gas Drive: Results From Macroscale Simulations

机译:溶液气驱过程中引力效应的孔尺度网络建模研究:宏观模拟的结果

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Although experimental work for solution gas drive processes is routinely carried out and interpreted for the purpose of defining critical gas saturations and relative permeability data, developing a thorough understanding of the results to facilitate confident application to the field is a hard task. Unfortunately, existing macroscopic models are unable to reproduce or take into account several different features of solution gas drive experiments. For example: (ⅰ) the impact of outlet boundary conditions upon the formation of saturation gradients, and ( ⅱ) transitions between different flow regimes (disconnected immobile gas, disconnected mobile gas, continuous gas flow) that are characterized by different pore-scale dynamics. These features can be considered using pore-scale modeling techniques. However, such microscopic applications, even in the few cases where they are refined enough to include viscous or gravitational forces, have perhaps their greatest limitation in the number of pores that can be simulated. This consequently makes it virtually impossible to simulate flow regimes that are not capillary dominated at an appropriate physical length scale. In this work a pore scale network modeling approach is presented which is capable of reproducing gravitational effects during oil depressurization through simulation in samples of macro-scale height. The models used comprise several hundred thousand pore elements. The primary objective is to fully simulate the physical height of routinely used laboratory samples, in this way reproducing the real scale and pressure dependent balance of forces: this allows us to show how the ratio of gravity to capillarity changes in relation to the rates of depletion (bubble densities), the rock, the fluid properties and the scale of the sample, and how this contributes to affect relative permeabilities and critical gas saturations. In particular it is shown that relative permeabilities can be predicted according to the particular flow regime operating during a given experiment (dispersed and/or continuous). Moreover we show that flow is largely determined by the size and density of gas clusters, whether originating from nucleation or from break-up of larger structures during migration. Furthermore, the ways in which different saturation gradients can develop over the length of a sample and the effects of the outlet boundary conditions upon such gradients are explained. The results are compared to available experimental data.
机译:尽管为了确定临界气体饱和度和相对渗透率数据,通常会进行溶液气体驱动过程的实验工作并进行解释,但是要对结果进行透彻的了解以促进在现场的自信应用是一项艰巨的任务。不幸的是,现有的宏观模型无法复制或考虑溶液气驱实验的几种不同特征。例如:(ⅰ)出口边界条件对饱和梯度的形成的影响,以及(ⅱ)以不同的孔隙尺度动力学为特征的不同流动状态(不流动的固定气体,不流动的固定气体,连续的气体流动)之间的过渡。可以使用孔尺度建模技术来考虑这些特征。然而,这种微观应用,即使在少数情况下,即使它们经过足够细化以包括粘性力或重力,也可能在可模拟的孔数量上具有最大的局限性。因此,这实际上使得无法模拟在适当的物理长度范围内不是毛细管主导的流动状态。在这项工作中,提出了一种孔隙尺度网络建模方法,该方法能够通过对宏观尺度高度的样本进行仿真来再现油减压过程中的重力效应。所使用的模型包含数十万个孔隙元素。主要目的是完全模拟常规使用的实验室样品的物理高度,以这种方式再现力的真实比例和压力相关的平衡:这使我们能够显示重力与毛细比与损耗率之间的关系如何变化(气泡密度),岩石,流体性质和样品的比例,以及这如何影响相对渗透率和临界气体饱和度。特别地,示出了可以根据在给定实验(分散的和/或连续的)期间操作的特定流动状态来预测相对渗透率。此外,我们表明,流动很大程度上取决于气体团簇的大小和密度,而不论其是成核的还是迁移过程中较大结构的破裂。此外,还说明了在样品的整个长度上可以形成不同的饱和度梯度的方式,以及出口边界条件对此类梯度的影响。将结果与可用的实验数据进行比较。

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