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Capillary Pressure and Relative Permeability of Small Cores

机译:小芯的毛细管压力和相对渗透性

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This paper presents the results of drainage capillary pressure and relative permeability measurements made on cores of different size - bulk volumes ranging from 0.5 to 12 cm~3. The aim of the measurements was to obtain reliable experimental data which can be used to validate the predictive value of micro-CT based network models for capillary pressure and relative permeability. Micro-CT based network models typically use realistic networks constructed from the X-ray images of the rock samples representing bulk volumes of the order of 0.3 cm~3. Experimental data for drainage capillary pressure were obtained using the centrifuge technique. The results for the largest cores were comparable to data obtained on the same sample using the porous plate technique. Relative permeability data were obtained by history matching unsteady state displacement data. Homogeneous outcrop sandstones (Berea and Bentheim) and carbonate (Mt. Gambier) were used in the experiments. Air-brine and oil-brine fluid-systems were used for drainage capillary pressure and relative permeability measurements, respectively. The relative permeability data were compared with those predicted from empirical and geometry based models using capillary pressure data. Good agreement was obtained for the drainage capillary pressure measured on all samples used. The residual saturations obtained from the cores used in the displacement experiments were also in good agreement. The models were found to predict relative permeability of oil and water with varying degrees of success. For water relative permeability, the Pirson model predicts the experimental data successfully while the Corey, Corey-Brooks/Burdine and van Genuchten/Burdine models provide the best predictions for oil relative permeability. The results demonstrate for the first time that reliable drainage capillary pressure and relative permeability measurements can be made on small sandstone and carbonate cores of size similar to that used for micro-CT-imaging.
机译:本文呈现的排水的毛细管压力和测量相对渗透率的不同尺寸的芯制成的结果 - 从0.5至12cm〜3散装卷。测量的目的是获得可以用于验证基于微CT网络模型毛细管压力和相对磁导率的预测值可靠的实验数据。微CT基于网络模型典型地使用从表示为0.3cm〜3的顺序的散装卷上的岩石样品的X射线图像构造的实际网络。使用离心分离机技术获得的排水的毛细管压力的实验数据。为最大的芯的结果媲美上使用多孔板技术相同样品获得的数据。相对渗透率数据通过历史匹配不稳定状态位移数据获得的。均匀露头砂岩(贝雷和特海姆)和碳酸酯(甘比尔山)在实验中使用。空气 - 盐水和油 - 盐水流体系统分别用于排水的毛细管压力和测量相对渗透率。相对渗透率数据与来自使用毛细管压力数据经验和几何基于模型的预测进行比较。对使用的所有样品中测得的排水毛细管压力得到较好的一致性。在置换试验中使用的核获得的残余饱和度也相当吻合。发现所述模型来预测的油和水的相对渗透率与不同程度的成功。对于水的相对渗透率,在皮尔松模型成功地预测了实验数据,而科瑞,科里 - 布鲁克斯/伯丁和求算Van Genuchten /伯丁模型提供了石油相对渗透率最好的预测。结果表现出的第一次可靠的排水的毛细管压力和相对渗透率测量可在小砂岩和尺寸类似于用于显微CT成像的碳酸盐芯制成。

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