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CO2-BRINE DISPLACEMENT IN HETEROGENEOUS CARBONATES

机译:非均匀碳酸盐中的CO2-盐水位移

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The investigation of CO2-brine displacement in porous rock is important to predict plume migration and initial pore-space utilization in CO2 storage. The measurement of relative permeability saturation functions (kr(Sw)) characterizing displacement requires relatively homogeneous core material. Carbonates, however, are often heterogeneous on various length scales. While microscopic heterogeneity determines kr(Sw), larger-scale heterogeneity that is not statistically represented in the measured volume affects the investigation. In this paper we present CO2-brine unsteady-state core flood experiments in order to characterize CO2-brine primary drainage in Estaillades limestone. We describe the experiments by means of numerical simulations assuming 1-D homogeneous rock and parameterized kr(Sw) relationships. Assisted history matching methodologies were used to find the kr(Sw) parameters which minimize a mismatch function, giving the best match to the experimental data. The effects of larger-scale heterogeneity are still not taken explicitly into account (just by sample selection) and are a subject for further discussion.
机译:多孔岩中CO2-盐水位移的研究对于预测CO2储存中的羽流迁移和初始孔隙空间利用是重要的。相对渗透饱和函数的测量(KR(SW))表征位移需要相对均匀的芯材料。然而,碳酸盐在各种长度尺度上通常是异质的。虽然微观异质性决定KR(SW),但在测量体积中没有统计学地表示的大规模异质性会影响调查。在本文中,我们呈现CO2-盐水不稳定状态核心泛洪实验,以表征Estaillades石灰石中的CO2-盐水初级排水。我们通过假设1-D均质岩石和参数化KR(SW)关系的数值模拟来描述实验。辅助历史匹配方法用于找到最小化不匹配功能的KR(SW)参数,从而最佳匹配实验数据。较大规模异质性的影响仍然没有明确考虑(仅通过样本选择),并且是进一步讨论的主题。

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