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Modeling and Simulation of Nanoparticle Transport in Multiphase Flows in Porous Media: CO2 Sequestration

机译:多孔介质中多相流中纳米颗粒传输的建模与模拟:CO 2固存

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摘要

Geological storage of anthropogenic CO2 emissions in deep saline aquifers has recently received tremendous attention in the scientific literature. Injected CO2 plume buoyantly accumulates at the top part of the deep aquifer under a sealing cap rock, and some concern that the high-pressure CO2 could breach the seal rock. However, CO2 will diffuse into the brine underneath and generate a slightly denser fluid that may induce instability and convective mixing. Onset times of instability and convective mixing performance depend on the physical properties of the rock and fluids, such as permeability and density contrast. The novel idea is to adding nanoparticles to the injected CO2 to increase density contrast between the CO2-rich brine and the underlying resident brine and, consequently, decrease onset time of instability and increase convective mixing.\udAs far as it goes, only few works address the issues related to mathematical and numerical modeling aspects of the nanoparticles transport phenomena in CO2 storages. In the current work, we will present mathematical models to describe the nanoparticles transport carried by injected CO2 in porous media. Buoyancy and capillary forces as well as Brownian diffusion are important to be considered in the model. IMplicit Pressure Explicit Saturation-Concentration (IMPESC) scheme is used and a numerical simulator is developed to simulate the nanoparticles transport in CO2 storages.
机译:近来,深层盐水中人为二氧化碳排放的地质存储在科学文献中引起了极大的关注。注入的二氧化碳羽流漂浮在密封盖岩下的深层含水层的顶部,并且有些人担心高压二氧化碳会破坏密封岩。但是,CO2会扩散到下方的盐水中,并产生稍稠的流体,这可能引起不稳定和对流混合。不稳定和对流混合性能的开始时间取决于岩石和流体的物理特性,例如渗透率和密度对比。新颖的想法是将纳米颗粒添加到注入的CO2中,以增加富含CO2的盐水与下面的驻留盐水之间的密度对比,从而减少不稳定性的开始时间并增加对流混合。\ ud到目前为止,只有很少的工作解决与二氧化碳储存中纳米颗粒传输现象的数学和数值建模方面有关的问题。在当前的工作中,我们将提供数学模型来描述注入的CO2在多孔介质中携带的纳米颗粒传输。在模型中要考虑浮力和毛细作用力以及布朗扩散。使用隐式压力显式饱和浓度(IMPESC)方案,并开发了数值模拟器来模拟纳米颗粒在CO2储存中的传输。

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