معرفی
Dr. Xiang Kong is a Researcher affiliated with the Department of Materials at ETH Zurich, specifically within the Professorship for Soft Materials. His work focuses on fluid dynamics in porous media, geothermal energy systems, and carbon capture and storage (CCS). He leads experimental and numerical studies to understand subsurface processes, including fluid-rock interactions, CO2 sequestration, and fracture permeability evolution under thermal and mechanical stresses. His research integrates advanced computational methods like lattice-Boltzmann simulations and machine learning to address challenges in energy and environmental engineering.
Key areas of investigation include optimizing CO2 storage in salt caverns, enhancing geothermal energy extraction through phase-transition fracturing, and modeling mineral precipitation dynamics during geothermal reinjection. Dr. Kong collaborates on projects such as ZoDrEx, aiming to improve zonal isolation and drilling techniques in enhanced geothermal systems (EGS). His experimental methods involve hydraulic tomography, laser-induced fluorescence (LIF), and 3D-printed fractured media to study solute transport and flow path evolution.
Notable contributions include developing novel tracers (e.g., DNA-labeled nanoparticles) for subsurface monitoring and advancing physics-informed machine learning models for direct inversion of subsurface flow systems. His work bridges fundamental materials science with applied geoscience, addressing critical global challenges in energy transition and climate mitigation.
