A framework for modelling groundwater flow in deep heterolithic sedimentary sequences

与地下地质处置设施（GDF）中放射性物质深层处置相关的风险管理是基于多重屏障概念的。这些障碍之一是地圈或宿主和周围岩层的地质环境。因此，了解地下水在这些地层中的运动及其对放射性核素运输的影响，对于开发运营和关闭后的安全案例至关重要。Mercia泥岩组（MMG）目前被认为是GDF的潜在宿主岩。然而，对这一地层的研究还没有达到与其他潜在寄主岩相同的程度。因此，有必要在东北爱尔兰海盆地（NEISB）建立MMG和邻近岩石的水文地质模型。这将是博士学位的重点，他将使用数据收集来构建一个概念性的三维地层地面模型。然后，将使用帝国理工学院有限元油藏模拟器（IC-FERST）将其转换为动态数值模型。这种最先进的数字代码将用于探索在放射性核素运动背景下对地下水流动的控制，以及当前和近期气候下数据不确定性的影响。

The management of risk associated with the deep disposal of radioactive material in an underground Geological Deposal Facility (GDF) is based on the multiple barrier concept. One of these barriers is the geosphere or the geological environment of the host and surrounding rock formations. Therefore, understanding the movement of groundwater in these formations and its effect on radionuclide transport is vital to the development of operational and post-closure safety cases.The Mercia Mudstone Group (MMG) is currently being considered as a potential host rock for a GDF. This formation, however, has not been investigated to the same extent as other potential host rocks. There is a need, therefore, to develop hydrogeological models of the MMG and adjacent rocks in the North East Irish Sea Basin (NEISB). This will be the focus of the PhD, which will use data collection to construct a conceptual 3D stratigraphic ground model. This, in turn, will be converted into a dynamic numerical model using the Imperial College Finite Element Reservoir Simulator (IC-FERST). This state-of-the-art numerical code will be used to explore the controls on groundwater flow in the context of radionuclide movement, along with the effects of data uncertainty under current and near future climates.