在 CO2 地质的存储期间,密度驱动的对流活动能显著地加速注射 CO2 的溶解进水,是众所周知的。这个行动能通过象破裂,差错和放弃的井那样的垂直小径从存储形成限制 supercritical CO2 的逃跑,存储的因而增加的永久性和安全。首先,我们调查了到 dissolution-diffusion-convection (DDC ) 上的分辨率和集中标准处理的时间和格子引起的数字不安的效果。用有适当空间、时间的分辨率的模型,然后,一些无常参数在我们象起始的气体那样的以前的纸调查了象相对液体渗透那样的浸透和模型边界,和另外的因素,孔修正被用来在 DDC 进程上检验他们的效果。最后,我们在 DDC 过程的模拟上比较了 2D 和 3D 模型的效果。上述当模特儿的结果应该在传送对流主导的阶段期间贡献清楚的理解和 DDC 过程,特别对流活动的发作,和 CO2 溶解率的精确模拟[出版摘要]
It is well known that during CO2 geological storage, density-driven convective activity can significantly accelerate the dissolution of injected CO2 into water. This action could limit the escape of supercritical CO2 from the storage formation through vertical pathways such as fractures, faults and abandoned wells, consequently increasing permanence and security of storage. First, we investigated the effect of numerical perturbation caused by time and grid resolution and the convergence criteria on the dissolution-diffusion-convection (DDC) process. Then, using the model with appropriate spatial and temporal resolution, some uncertainty parameters investigated in our previous paper such as initial gas saturation and model boundaries, and other factors such as relative liquid permeability and porosity modification were used to examine their effects on the DDC process. Finally, we compared the effect of 2D and 3D models on the simulation of the DDC process. The above modeling results should contribute to clear understanding and accurate simulation of the DDC process, especially the onset of convective activity, and the CO2 dissolution rate during the convection-dominated stage.