Geothermal Energy
Resource assessment, reservoir engineering, and environmental impact of deep geothermal systems for electricity and direct heat.
Active research directions across geoenergy, subsurface modeling, and digital technologies for the energy transition.
Resource assessment, reservoir engineering, and environmental impact of deep geothermal systems for electricity and direct heat.
CO₂ storage in depleted reservoirs and saline aquifers — capacity estimation, integrity assurance, and long-term monitoring.
Re-qualification, repurposing, and safe abandonment of ageing wells for geothermal production and carbon storage.
Temperature correction, heat flow simulation, and reservoir thermal behavior under geological uncertainty.
Machine learning, data science, and computational methods applied to geoenergy and environmental systems (D-TEA).
Python, FEFLOW, QGIS, and Petrel pipelines for reproducible subsurface modeling and uncertainty quantification.