Zacharoudiou Ioannis, Boek Edo S, Crawshaw John
Qatar Carbonates and Carbon Storage Research Centre, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom.
School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom.
Sci Rep. 2018 Oct 22;8(1):15561. doi: 10.1038/s41598-018-33502-y.
Injection of CO deep underground into porous rocks, such as saline aquifers, appears to be a promising tool for reducing CO emissions and the consequent climate change. During this process CO displaces brine from individual pores and the sequence in which this happens determines the efficiency with which the rock is filled with CO at the large scale. At the pore scale, displacements are controlled by the balance of capillary, viscous and inertial forces. We simulate this process by a numerical technique, multi-GPU Lattice Boltzmann, using X-ray images of the rock pores. The simulations show the three types of fluid displacement patterns, at the larger scale, that have been previously observed in both experiments and simulations: viscous fingering, capillary fingering and stable displacement. Here we examine the impact of the patterns on storage efficiency and then focus on slow flows, where displacements at the pore scale typically happen by sudden jumps in the position of the interface between brine and CO, Haines jumps. During these jumps, the fluid in surrounding pores can rearrange in a way that prevent later displacements in nearby pores, potentially reducing the efficiency with which the CO fills the total available volume in the rock.
将二氧化碳深埋注入多孔岩石(如盐含水层)似乎是减少二氧化碳排放及由此引发的气候变化的一种很有前景的手段。在此过程中,二氧化碳从各个孔隙中驱替出盐水,而这一过程发生的顺序决定了岩石在宏观尺度上被二氧化碳充满的效率。在孔隙尺度上,驱替过程受毛细管力、粘性力和惯性力的平衡控制。我们使用岩石孔隙的X射线图像,通过一种数值技术——多GPU晶格玻尔兹曼方法来模拟这一过程。模拟结果显示了在更大尺度上先前在实验和模拟中都观察到的三种流体驱替模式:粘性指进、毛细管指进和稳定驱替。在此,我们研究这些模式对存储效率的影响,然后聚焦于缓慢流动,在这种情况下,孔隙尺度上的驱替通常是通过盐水和二氧化碳界面位置的突然跳跃(海恩斯跳跃)发生的。在这些跳跃过程中,周围孔隙中的流体可能会以一种阻止附近孔隙后续驱替的方式重新排列,这可能会降低二氧化碳填充岩石中总可用体积的效率。