Cross-Scale Imaging and Image-Based Modelling of Subsurface Processes in Low-Carbon Energy Systems

Session ID#: 119228

Session Description:
To respond to the climate crisis, subsurface low-carbon energy systems are urgently needed globally, including geo-energy extraction, carbon sequestration, nuclear waste disposal, geothermal energy recovery, and underground hydrogen storage. However, the heterogeneous nature of subsurface rocks and the coupling among physical, chemical, and biological processes make it challenging to predict potential risks and to improve the energy utilisation/storage efficiency.

Advanced static and dynamic imaging techniques (e.g. X-ray tomography, FIB-SEM, NMR, PET, TEM tomography) are critical to probe the physical and chemical properties of rocks and sediments, as well as the solid-fluid interactions under subsurface conditions. Novel image-based modelling provides an efficient way to understand and upscale the complex processes. This session focuses on recent advances in imaging and modelling from pore to reservoir scale, and the opportunities and limitations of applying these methods in hydrology, geology, geo-engineering, geomechanics, geochemistry, microbiology, soil science, and other subsurface activities in low-carbon energy systems.

Co-Organized:
  • MR - Mineral and Rock Physics
  • V - Volcanology, Geochemistry and Petrology
Index Terms:

1009 Geochemical modeling [GEOCHEMISTRY]
1828 Groundwater hydraulics [HYDROLOGY]
1847 Modeling [HYDROLOGY]
3954 X-ray, neutron, and electron spectroscopy and diffraction [MINERAL PHYSICS]


Primary Convener:  Lin Ma, University of Manchester, Department of Chemical Engineering and Analytical Sciences, Manchester, M13, United Kingdom
Conveners:  Chun Chang, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Bo Guo, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Xiongyu Chen, University of Texas at Austin, Hildebrand Department of Petroleum and Geosystems Engineering, Austin, TX, United States
Primary Liaison:  Lin Ma, University of Manchester, Department of Chemical Engineering and Analytical Sciences, Manchester, M13, United Kingdom
See more of: Hydrology