Statistics of porous media attributes and mixing processes state variables across scales

Lead Research Organisation: University of Warwick
Department Name: Physics

Abstract

Typical observations of porous media attributes arise from a variety of techniques which have their own spatial resolution and associated uncertainty. Therefore, key statistics of parameters driving transport processes in porous media vary across scales and a scientific foundation for the characterization of basic transport mechanisms requires understanding of all relevant processes across the relevant length and time scales. In this project, we develop a theoretical and computational framework to assimilate data associated with diverse variables collected at a range of scales and combine these to provide predictions of solute dynamics and associated uncertainties.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022848/1 01/04/2019 30/09/2027
2422226 Studentship EP/S022848/1 05/10/2020 04/10/2024 Alisdair Soppitt