Uncertainty quantification through reduced modelling of CO2 injection sites

该项目涉及在其他工作的基础上建立模型，以建立存储二氧化碳时自然出现的细长二氧化碳流(重力流)的物理意义模型。这将涉及到解决地质构造中固有的非均质性，解决在不同长度尺度上发生的溶解等过程，以及可能导致被表面张力捕获的复杂的二氧化碳多相流。简化的模型将被用来确定主要的物理过程。这个博士项目希望既理解这些简化的物理模型，然后利用这种计算效率来理解问题中的未知因素的敏感性，主要是地质水库本身。另一个目的是了解二氧化碳可能从注入点传播到多远，这一点敏感地取决于潜在的地质条件。更多地从概率意义上看，我们可以使用简化的二氧化碳重力流模型来处理二氧化碳可能进展到什么程度，同时使用底层地质的更具统计学意义的表示法来给出二氧化碳传播一定距离的风险预测图。

The project involves building on other work to model how to create physically meaningful models of the long-thin flows of CO2 (gravity currents) that naturally occur when storing CO2. This will involve grappling with the inherent heterogeneities within geological formations, with processes like dissolution which happen on a variety of length scales, and with the complex multi-phase flow of CO2 which can lead to trapping by surface tension. Simplified models will be used to identify the dominant physical processes. This PhD project looks to both understand those reduced physics models and then to utilise this computational efficiency to understand the sensitivity to the unknowns inthe problem, chiefly the geological reservoir itself. An additional aim is to understand how far CO2 might propagate from the injection point, which is sensitively dependent on the underlying geology. Viewing this more in a probabilistic sense, how far might we expect the CO2 to progress can be addressed using a simplified, gravity current model for the CO2 while using a more statistical representation of the underlying geology to give predictive maps of the risk of CO2 propagating a certain distance.