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A New Model To Obtain Representative Field Relative Permeability for Reservoirs Produced Under Solution-Gas Drive

机译:求解气驱下储层代表性油田相对渗透率的新模型

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Relative permeability curves (k_r) control production and are of primary importance for any type of recovery process. In the case of production by displacement (waterfiood or gasflood), the k_r curves obtained in the laboratory can be used in numerical simulators to predict hydrocarbon recovery (after upscaling to account for heterogeneity). In the case of reservoirs produced under solution-gas drive (depressurized field, foamy oils), the experiments conducted in the laboratory depend on the depletion rate and cannot be used directly for reservoir simulations. We have developed a novel approach for calculating representative field relative permeabilities. This new method is based on a physical model that takes into account the various mechanisms of the process: bubble nucleation (pre-existing bubbles model), phase transfer (volumetric transfer function), and gas displacement (bubble flow). In our model, we have identified a few "invariant" parameters that are not sensitive to depletion rate and are specific to the rock/fluid system (mainly the pre-existing bubble-size distribution and a proportionality coefficient relating gas and oil velocity for the dispersed-phase regime). These invariant parameters are determined by history matching one experiment at a given depletion rate. The calibrated model is then used to generate synthetic data at any depletion rate, especially at very low depletion rates representative of the reservoir conditions. Relative permeabilities are derived from these "numerical" experiments in the same way as they are from real experiments. The calculated k_r is finally used in commercial reservoir simulators. We have tested our model by using several series of published experiments with light and heavy oils. After adjusting the invariant parameters on one or two experiments, we are able to predict other experiments performed at different depletion rates with very good accuracy. Finally, we present an example of determination of relative permeabilities at reservoir depletion rates.
机译:相对渗透率曲线(k_r)控制着产量,对于任何类型的采收过程而言都是至关重要的。在通过驱油(注水或注气)生产的情况下,可以将在实验室中获得的k_r曲线用于数值模拟器中,以预测碳氢化合物的采收率(按比例放大以解决非均质性)。对于在溶液气驱下生产的储层(减压油田,泡沫油),实验室中的实验取决于消耗率,因此不能直接用于储层模拟。我们开发了一种新颖的方法来计算代表性的油田相对渗透率。这种新方法基于一种物理模型,该模型考虑了该过程的各种机制:气泡成核(预先存在的气泡模型),相转移(体积传递函数)和气体置换(气泡流)。在我们的模型中,我们确定了一些对损耗率不敏感的“不变”参数,这些参数特定于岩石/流体系统(主要是预先存在的气泡尺寸分布以及与油气速度相关的比例系数)。分散相状态)。这些不变参数是通过在给定的耗竭率下匹配一个实验的历史记录来确定的。然后将校准后的模型用于以任何消耗速率生成合成数据,尤其是在代表储层条件的极低消耗速率下。相对渗透率是从这些“数值”实验中获得的,与从真实实验中获得的方法相同。最终,计算出的k_r被用于商业油藏模拟器中。我们通过使用一系列已发布的轻油和重油实验对模型进行了测试。在一次或两次实验中调整不变参数后,我们能够非常准确地预测以不同消耗率进行的其他实验。最后,我们给出一个确定油藏枯竭率下相对渗透率的例子。

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