Research topics

Computational geoscience
Impact of geological uncertainty on THMC simulations
Numerical simulations and meshing schemes
Machine learning

Projects:

GeoLaB (https://geolab.helmholtz.de/):
Responsible for structural modelling and numerical simulations
Organizer of the second GeoLaB workshop

Links:

Master thesis:
• Domenic Story (2025): Qualitative interpretation and forward modelling of gravity data for the WärmeWerkWörth deep geothermal project
• Sahar Sadrikhanloo (2025): Machine learning approaches for lithofacies classification and core porosity prediction using well log data

Conference contributions

2025

First identification of fluvial channels by advanced spectral decomposition in Chattian syn-rift successions of the central Upper Rhine Graben: Implications for subsurface energy storage
Tolba, A. T.; Bauer, F.; Grimmer, J. C.; Dashti, A.; Kohl, T.
2025. EGU General Assembly 2025, 10539, Copernicus. doi:10.5194/egusphere-egu25-10539

2024

Challenges and Opportunities for Lithium Extraction from Geothermal Systems in Germany Part 3: The Return of the Extraction Brine
Goldberg, V.; Dashti, A.; Egert, R.; Benny, B.; Nitschke, F.; Kohl, T.
2024. Proceedings - European Metallurgical Conference (EMC), Volume 1, Düsseldorf, 11th - 14th June 2023, 185 – 206, GDMB Verlag GmbH

2020

Utilization of abandoned hydrocarbon reservoirs for deep geothermal heat storage
Stricker, K. R.; Grimmer, J.; Meixner, J.; Dashti, A.; Egert, R.; Gholamikorzani, M.; Schaetzler, K.; Schill, E.; Kohl, T.
2020, May 5. European Geosciences Union General Assembly (EGU 2020), Online, May 4–8, 2020. doi:10.5194/egusphere-egu2020-20723

Utilization of Abandoned Hydrocarbon Reservoirs for Deep Geothermal Heat Storage
Stricker, K. R.; Grimmer, J.; Meixner, J.; Dashti, A.; Egert, R.; Gholamikorzani, M.; Schätzler, K.; Schill, E.; Kohl, T.
2020. Upstream oil & gas talks climate and the energy transition : DGMK/ÖGEW-Frühjahrstagung, 75–84, Deutsche Wissenschaftliche Gesellschaft für Erdöl, Erdgas und Kohle e.V. (DGMK)

Referenced publications

2025

2024

Machine learning for robust structural uncertainty quantification in fractured reservoirs
Dashti, A.; Stadelmann, T.; Kohl, T.
2024. Geothermics, 120, Art.-Nr.: 103012. doi:10.1016/j.geothermics.2024.103012

Developing meshing workflows in Gmsh v4.11 for the geologic uncertainty assessment of high-temperature aquifer thermal energy storage
Dashti, A.; Grimmer, J. C.; Geuzaine, C.; Bauer, F.; Kohl, T.
2024. Geoscientific Model Development, 17 (8), 3467–3485. doi:10.5194/gmd-17-3467-2024

2023

Challenges and Opportunities for Lithium Extraction from Geothermal Systems in Germany—Part 3: The Return of the Extraction Brine
Goldberg, V.; Dashti, A.; Egert, R.; Benny, B.; Kohl, T.; Nitschke, F.
2023. Energies, 16 (16), Art.-Nr.: 5899. doi:10.3390/en16165899

Impact of structural uncertainty on tracer test design in faulted geothermal reservoirs
Dashti, A.; Gholami Korzani, M.; Geuzaine, C.; Egert, R.; Kohl, T.
2023. Geothermics, 107, Art.-Nr.: 102607. doi:10.1016/j.geothermics.2022.102607

2021

Appraising Mahallat Geothermal Region using thermal surveying data accompanied by the geological, geochemical and gravity analyses
Nouraliee, J.; Ebrahimi, D.; Dashti, A.; Gholami Korzani, M.; Sangin, S.
2021. Scientific reports, 11, Art.-Nr.: 12190. doi:10.1038/s41598-021-90866-4

Study of geothermal energy potential as a green source of energy with a look at energy consumption in Iran
Dashti, A.; Gholami Korzani, M.
2021. Geothermal Energy, 9 (1), 28. doi:10.1186/s40517-021-00210-2