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Capillary Pressure Effects on Estimating the EOR Potential during Low Salinity and Smart Water Flooding

机译:毛细管压力影响低盐度和智能水淹没期间EOR潜力

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Many experimental works have investigated smart water and low salinity water flooding and observed significant incremental oil recovery following changes in the injected brine composition. The commonway approach to model such EOR mechanisms is by shifting the input relative permeability curves,particularly including a reduction of the residual oil saturation. Cores that originally display oil-wetness may retain much oil at the outlet of the flooded core due to capillary pressure being zero at a high oil saturation. This end effect is difficult to overcome in high permeable cores at typical lab rates. Injecting a brine that changes the wetting state to less oil-wet conditions(represented by zero capillary pressure at a lower oil saturation)will lead to a release of oil previously trapped at the outlet. Although this is chemically induced incremental oil,it represents a reduction of remaining oil saturation,not necessarily of residual oil saturation. This paper illustrates the mentioned issues of interpreting the difference in remaining and residual oil saturation during chemical EOR and hence the evaluation of potential smart water effects. We present a mathematical model representing core flooding accounting for wettability changes due to changes in the injected composition. For purpose of illustration,this is performed in terms of adsorption of a wettability alteration component coupled to shifting of relative permeability and capillary pressure curves. The model is parameterized in accordance with experimental data by matching brine-dependent saturation functions to experiments where wettability alteration takes place dynamically due to changing one chemical component. It is seen that several effects can give an apparent smart water effect without having any real reduction of the residual oil saturation,including 1)changes in the mobility ratio,where the oil already flowing is pushed more efficiently,and 2)the magnitude of capillary end effects can be reduced due to increased waterwetness or due to reduction in water relative permeability giving a greater viscous drag on the oil.
机译:许多实验工程研究了智能水和低盐水泛水,并观察到在注射盐水组合物的变化后显着的增量溢油。用于模拟这种EOR机制的泛阳缘方法是通过使输入相对渗透性曲线移位,特别是包括残留油饱和度的降低。最初显示油湿度的核心可能在高油饱和度下为填充芯的出口处保持大量油。在典型的实验室速率下难以克服这种最终效应。注入将润湿状态改变为较少的油湿条件(在较低的油饱和度下表示的毛细管压力表示)将导致预先捕获在出口处的油的释放。尽管这是化学诱导的增量油,但它代表剩余的油饱和度降低,不一定是残留的油饱和度。本文说明了解释化学EOR期间剩余和残余油饱和度差异的问题,从而评估潜在的智能水效应。我们提出了一个代表核心洪水核算的数学模型,用于润湿性因注射组合物的变化而变化。出于说明的目的,这就是在吸附湿度改变组分的吸附方面进行,耦合到相对渗透性和毛细管压力曲线的换档。通过将浓缩饱和函数匹配到实验到实验数据,根据实验数据进行参数化,该实验是由于改变一个化学成分而动态发生的润湿性改变。可以看出,几种效果可以给出明显的智能水效应,而不具有残余油饱和度的任何实际降低,包括1)迁移率的变化,其中油已经流动的方式更有效地推动,并且2)毛细管的大小由于水雨量增加或由于水相对渗透率的降低,可以减少终效效应,从而降低油。

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