Subsurface Flow Modeling Professors and Supervisors in Norway

Estela Reinoso MasetView profile

Researcher

Norwegian University of Life SciencesNorway

Estela Reinoso Maset is a Researcher at the Faculty of Environmental Sciences and Natural Resource Management (MINA), Norwegian University of Life Sciences (NMBU). Her work focuses on environmental radiochemistry, particularly the geochemical behavior of radionuclides and trace elements in natural systems. Key research areas: Uranium speciation, radionuclide mobility, alum shale waste characterization, selenium speciation in animal nutrition, and contaminant transport modeling Expertise: Advanced analytical techniques (ICP-MS/MS, synchrotron XRF, gamma spectrometry) and geochemical modeling (PHREEQC, Visual MINTEQ) Fieldwork: Chernobyl and Fukushima exclusion zones, Hanford sediments, Norwegian alum shale sites Her recent publications emphasize uranium-phosphate mineral interactions (2020-2023), alum shale weathering dynamics (2023-2025), and selenium bioavailability in swine nutrition (2022). Notable methodologies include flow-through reactor experiments, synchrotron-based imaging, and microbial activity assays using tritiated leucine.

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Mohsen AssadiView profile

Professor

University of StavangerNorway

Mohsen Assadi is a Professor at the Department of Energy and Petroleum Engineering, Faculty of Science and Technology, University of Stavanger (UiS), Norway. His work focuses on sustainable energy technologies, particularly micro gas turbines, hydrogen energy systems, geothermal applications, and AI-driven energy modeling. He actively collaborates with researchers across Europe and contributes to the clean energy transition through techno-economic and performance analyses. Research Interests: His research spans key areas in modern energy systems, including micro gas turbines , hydrogen and fuel-flexible combustion , geothermal energy , thermal energy storage , smart grids , and artificial intelligence applications in energy . He emphasizes techno-economic feasibility, decarbonization strategies, and system integration for residential, industrial, and urban environments. The recent publications highlight a strong trend toward AI-enhanced modeling for heating and cooling prediction, optimization of microgrids with hydrogen and renewables, and innovative energy storage solutions such as subsea pumped hydro and wastewater thermal reservoirs. His work bridges engineering fundamentals with real-world sustainability challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grants are not listed, Dr. Assadi frequently co-authors with early-career researchers and engineers, suggesting an active mentoring and advisory role in research projects. His publications appear in high-impact journals and conferences in energy and engineering, indicating sustained research funding and collaborative project involvement. Labs and Teams: Though not explicitly named, his research output suggests involvement in energy systems labs focused on microturbines, geothermal applications, and AI-based energy modeling at the University of Stavanger. He collaborates with interdisciplinary teams across thermodynamics, fluid mechanics, and sustainable urban infrastructure.

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Martin FernøView profile

Professor

University of BergenNorway

Professor Martin Fernø is affiliated with the Department of Physics and Technology at the University of Bergen. His research focuses on reservoir physics, multiphase flow in porous media, CO2 and hydrogen storage, and enhanced oil recovery. He leads the Reservoir Physics – Energy Technology and CO2 Storage (CCUS) research group. Research interests include capillary heterogeneities, wettability effects, in-situ imaging via MRI/NMR/CT, and SCAL techniques. He has contributed to projects like HyPE (Hydrogen Storage in Subsurface Porous Media) and FluidFlower, a meter-scale CO2 storage laboratory. His work integrates experimental and computational methods to address energy transition challenges. Recent publications explore microbial interactions in hydrogen storage, CO2 mobility control via foam, and pore-scale dynamics. He advises PhD candidates and mentors master’s students in reservoir physics and energy technology. Key collaborations involve NORCE, Equinor, and the Research Council of Norway. Labs/Teams: FluidFlower Lab, Reservoir Physics Research Group Funding: HyPE (Research Council of Norway), CSSR (Center for Sustainable Subsurface Resources)

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Jakub Wiktor BothView profile

Researcher

University of BergenNorway

Jakub Wiktor Both is a permanent researcher at the Department of Mathematics, University of Bergen (UiB). He is affiliated with the Porous Media Research Group and the Center for Modeling of Coupled Subsurface Dynamics. His research focuses on numerical methods for multiphysics problems in porous media, including image-based data analysis for laboratory experiments and mathematical modeling of CO2 storage. His work involves developing tools like the DarSIA (Darcy Scale Image Analysis) toolbox for fluid displacement analysis and PorePy, a Python simulation framework for fractured porous media. He leads projects on CO2 storage validation and has been awarded an NFR FRIPRO grant for his TIME4CO2 initiative, aiming to enhance CO2 storage capacity through mathematical modeling. Key research themes include optimal transport metrics, robust numerical solvers for coupled systems, and gradient flow structures in dissipative systems. His contributions span experimental validation frameworks (e.g., FluidFlower), digital twins (PoroTwin), and open-source software for subsurface dynamics. Notable awards include election as Chair of the Board of InterPore Norway (2024) and leadership in international projects like ERC CoG MaPSI and NFR Petrosenter CSSR. His interdisciplinary approach bridges mathematics, geoscience, and engineering for sustainable subsurface resource management.

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Anita TorabiView profile

Professor

University of OsloNorway

Anita Torabi is a Professor in Structural Geology at the University of Oslo , affiliated with the Department of Geosciences. Her research focuses on structural geology, fault mechanics, fluid flow in deformed reservoirs, CO2 storage, geothermal reservoirs, and seismicity. She employs advanced methods such as 3D seismic analysis, fault asperity studies, and machine learning for geological applications. Key affiliations: University of Oslo, NORCE (2015-2018), Uni Research CIPR (2008-2018) Education: PhD in Geosciences (2008) - University of Bergen Research Interests include: Fault mechanics and deformation processes Fluid flow in faulted reservoirs CO2 storage and green energy solutions Geomechanics and seismic risk assessment Machine learning in structural geology Basement rock fracture analysis Recent Publications highlight trends in: 3D fault characterization using deep learning Fluid dynamics in siliciclastic-carbonate systems Seismic attribute analysis for fault geometry Compaction bands in Tertiary-Quaternary sequences Ontology-driven geological modeling Machine learning applications for CO2 storage Research Leadership includes projects such as: CO2 Seal and Bypass – COPASS CO2SafeQuest (fault behavior for CO2 storage) gigaCCS@UiO (Center of Excellence in Carbon Capture) VICCO (volcanic-sedimentary CO2 storage) Pool Studies CO2 Storage research group

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Gaute LingaView profile

Researcher

University of OsloNorway

Dr. Gaute Linga is a Researcher at the NJORD Center for the Study of Earth Physics, University of Oslo , Norway. His work focuses on fluid dynamics in porous media , with applications to CO2 storage , geophysics , and electrohydrodynamics . He develops numerical frameworks like Bernaise for simulating multiphase systems and contributes to understanding chaos in fluid flows , solute dispersion , and mineral precipitation in subsurface environments. His research spans Computational Physics , Geophysical Fluid Dynamics , and Materials Science , often published in journals like Nature Physics , Advances in Water Resources , and Physical Review Fluids . He collaborates with teams at the VISTA Center for CO2 Storage in Volcanic-Sedimentary Systems (VICCO) and the Department of Geosciences . Contact: gaute.linga@mn.uio.no

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Magnus BruasetView profile

Professor

University of OsloNorway

Magnus Bruaset is a Professor and Director of the Software & AI Department at Simula Research Laboratory , with expertise in computational geosciences, numerical methods, and quantum computing. His work spans geological modeling, PDE solvers, and software development frameworks like Diffpack. Education : PhD in preconditioned iterative methods for elliptic problems (1992), Master's in preconditioning symmetric systems (1988). Research Interests : Focus on numerical analysis, GPU acceleration of geological simulations, stochastic modeling for uncertainty quantification, and quantum computing strategy. Key projects include Hamilton-Jacobi solvers, particle-based flow models, and contributions to digital contact tracing systems. Advising & Collaboration : Co-developed PhD training workshops for scientific communication and contributed to industrial-academic partnerships. Collaborated with institutions including ChevronTexaco, Wolfram Research, and University of Oslo.

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Kent-Andre MardalView profile

Professor

University of OsloNorway

Kent-Andre Mardal is a Professor at the Department of Mathematics , University of Oslo . He specializes in computational mechanics with a strong focus on biomechanical applications in medicine , particularly in modeling brain clearance mechanisms during sleep. His work integrates multi-physics modeling , fluid-structure interaction , and poroelastic couplings to advance understanding of the glymphatic system and cerebrospinal fluid dynamics. Education: PhD (2002) – Simula Research Laboratory Research Interests: Mardal's research spans a wide range of disciplines including: Computational Mechanics – developing robust numerical algorithms for complex physical systems Biomechanical Applications – particularly in neuroscience and medical imaging Brain Clearance During Sleep – modeling the glymphatic system and CSF flow dynamics Multi-Physics Modeling – integrating fluid dynamics, elasticity, and neural networks Finite Element Methods – for accurate and efficient simulations Neural Networks in Scientific Computing – exploring physics-informed neural networks Research Trends from Publications: Mardal's recent publications (2022–2025) demonstrate a clear focus on brain fluid dynamics , particularly the glymphatic system , CSF circulation , and neurodegenerative disease modeling . He employs advanced numerical techniques such as isogeometric analysis , physics-informed neural networks , and parameter-robust preconditioning to solve complex multi-physics problems. His work bridges medical imaging (MRI) with computational modeling to provide insights into brain clearance mechanisms and their impairment in diseases like Alzheimer's. Scientific Awards: No specific awards are mentioned in the provided text. Grants and Projects: Currently, Mardal is the Principal Investigator (PI) of three active research projects: Alzheimer's Physics – exploring the role of fluid dynamics in neurodegeneration Scientific Machine Learning – advancing numerical methods with AI Computational Hydrology – modeling subsurface fluid flow Affiliations and Teams: Mardal was previously a group leader at the Centre of Excellence “Biomedical Computing” at the Simula Research Laboratory. He has authored over 100 papers and several books, and his research homepage is available at https://kent-and.github.io/ .

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