معرفی
Julien Maes is an Assistant Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, and a member of the Institute for GeoEnergy Engineering. His research focuses on porous media, permeability, multiphase flow, and reactive transport, with applications in CO₂ storage, geothermal energy, and digital rock physics. He has developed novel methodologies for modeling subsurface processes using machine learning, microfluidics, and multiscale simulations.
Key research interests include carbonate reservoir characterization, fracture conductivity correction, and the integration of AI-driven models for environmental and energy systems. His work contributes to Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13).
Recent publications highlight advancements in surrogate modeling for geothermal reservoirs, hybrid macropore-Darcy approaches for permeability estimation, and deep learning-based prediction of reactive dissolution. He has collaborated on open-source tools like the Carbonate Reservoir Group HWU dataset (Bitbucket repository), enabling reproducible research in porous media studies.
- Labs/Teams: Carbonate Reservoir Group at Heriot-Watt University
- Grants/Advising: No specific grants or advisees listed, but active in collaborative research projects
