Progress in the general area of soil science has been significant over recent years due to technological advances in X-ray scanners, improvements in the mathematical description of porous media, as well as the prediction of microbial processes. Nevertheless, many questions still remain unanswered. In particular, the computer vision tools that are currently available, and the techniques used to simulate biogeochemical processes in porous media need to be far more computationally efficient than they are at the moment. The objective of the proposed research is to cause a quantum leap forward in the geometric description and modeling of porous media, to enable researchers to simulate efficiently the various biogeochemical processes involved in groundwater recharge, aquifer decontamination, microbially-enhanced oil recovery and devise ways to speed computations significantly, to make it feasible to upscale modeling efforts from the microscale to spatial scales of practical interest in Qatar.
Microcosms setting up and images acquisition
This work package is decomposed into two tasks: (i) Setting up the microcosms, and CT scanning.
Voxel-based description of the pore space and modeling
This work package is decomposed into segmentation of images with available and new algorithms.
Shape-based description of the pore space
Final output of WP3 will consist of innovative algorithms to represent 3D complex shape from voxel-based representation.
Improvements of voxel-based modeling capability
This work package of the project as it ensures dynamic simulation at microscopic scale by implementing transformation processes
Experiments and comparison with modeling results
This WP of the project aims at conducting real microcosm experiments, then scanning them via X-ray CT and then dynamic simulation will performed.
In this is work package we will use the simulation software developed through the previous packages (and possibly extend it as needed) to address the upscaling issues.