Our Research
The reserach in our section falls into three categories: Geo-Energy, Geo-environmental Protection, and Computational Geosciences.
Geo-Energy
Our research on geo-energy explores methods to harness Earth's geothermal energy, advances the storage of liquid hydrogen in the subsurface, and studies the carbon footprint.
Geo-Environmental Protection
Industrial operations and anthopogenic interventions carry risks. Our research explores techniques to mitigate the impact of fossil fuel consumption, and analyzes the consequences of subsurface operations to reduce their future impact.
Computational Geoscience
The subsurface is mostly out of reach and out of sight. To rigorously analyse and predict the impact of subsurface operations, we advance research in data assimilation, optimization and control theory, and numerical simulation.
Our Publications
Below, you can access a list of our section's most recent publications.
- Stefan Fogel, Christopher Yeates, Sebastian Unger, Gonzalo Rodriguez-Garcia, Lars Baetcke, Martin Dornheim, Cornelia Schmidt-Hattenberger, D.F. Bruhn, Uwe Hampel, SNG based energy storage systems with subsurface CO2 storage, In Energy Advances Volume 1 p.402-421.
- G. Yu, W.R. Rossen, (2022), Simulation models for the minimum velocity for foam generation and propagation, In Journal of Petroleum Science and Engineering Volume 214.
- Kishan Ramesh Kumar, Herminio Tasinafo Honorio, Hadi Hajibeygi, (2022), Simulation of the inelastic deformation of porous reservoirs under cyclic loading relevant for underground hydrogen storage, In Scientific Reports Volume 12.
- Sara Shokrollahzadeh Behbahani, Hadi Hajibeygi, Denis Voskov, Jan Dirk Jansen, (2022), Smoothed embedded finite-volume method (sEFVM) for modeling contact mechanics in deformable faulted and fractured porous media, In Journal of Computational Physics Volume 459.
- Ahmed H. Elsheikh, Hadi Hajibeygi, Ralf Schulze-Riegert, Arne Skorstad, Taoufik Ait-Ettajer, (2022), Special issue: selected contributions from the 17th European Conference on the Mathematics of Oil Recovery (ECMOR XVII), In Computational Geosciences Volume 26 p.725.
- X. Tian, M. Asadiesfahani, J. Groenenboom, D.V. Voskov, Stochastic Discrete Well Affinity (DiWA) Model for Data Quality Diagnostic and Production Forecast, In European Conference on the Mathematics of Geological Reservoirs 2022.
- Cong Xiao, Hai-Xiang Lin, Olwijn Leeuwenburgh, Arnold Heemink, (2022), Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network, In Journal of Petroleum Science and Engineering Volume 208 p.1-19.
- Alexandros Daniilidis, Julian E. Mindel, Fleury De Oliveira Filho, Luca Guglielmetti, (2022), Techno-economic assessment and operational CO<sub>2</sub> emissions of High-Temperature Aquifer Thermal Energy Storage (HT-ATES) using demand-driven and subsurface-constrained dimensioning, In Energy Volume 249.
- Justin Ezekiel, Anozie Ebigbo, Indra Arifianto, Alexandros Daniilidis, Thomas Finkbeiner, P. Martin Mai, (2022), Techno-economic performance optimization of hydrothermal doublet systems: Application to the Al Wajh basin, Western Saudi Arabia, In Geothermics Volume 105.
- C.P. Marsman, F.C. Vossepoel, Ylona van Dinther, Rob Govers, Towards Estimating Postseismic Parameters and Processes Using Ensemble Data Assimilation