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.

  1. D. Casagrande, M. Piller, G. Schena, P. L.J. Zitha, X-ray radiographic imaging of unsteady flows in porous media, In Journal of Flow Visualization and Image Processing Volume 22 p.1-14.
  2. S Soroush, P Pourafshary, M Vafaie-Sefti, A comparison of asphaltene ceposition in miscible and immiscible carbon dioxide flooding in porous media, In EOR Conference at Oil and Gas West Asia. SPE. 2014. Driving integrated and innovative EORATED AND INNOVATIVE EOR p.25-34, SPE.
  3. M Cusini, A Lukyanov, J Natvig, H Hajibeygi, A constrained pressure residual multiscale (CPR-MS) compositional solver, In Proceedings of the 14th European Conference on the Mathematics of Oil Recovery 2014, ECMOR 2014 p.1-11, EAGE.
  4. RC Yerramilli, PLJ Zitha, SS Yerramilli, P Bedrikovetsky, A novel water-injectivity model and experimental validation with CT-scanned corefloods, In SPE Journal Volume 20 p.1200-1211.
  5. M Tene, H Hajibeygi, Y Wang, HA Tchelepi, Adaptive algebraic multiscale solver for compressible flow in heterogeneous porous media, In Proceedings of the 14th European Conference on the Mathematics of Oil Recovery 2014, ECMOR 2014 p.1-13, EAGE.
  6. D Kourounis, LJ Durlofsky, JD Jansen, K Aziz, Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow, In Computational Geosciences: modeling, simulation and data analysis Volume 18 p.117-137.
  7. Y. Wang, H Hajibeygi, HA Tchelepi, Algebraic multiscale solver for flow in heterogeneous porous media, In Journal of Computational Physics Volume 259 p.284-303.
  8. P Grassia, E Mas-Hernández, N Shokri, SJ Cox, G Mishuris, WR Rossen, Analysis of a model for foam improved oil recovery, In Journal of Fluid Mechanics Volume 751 p.346-405.
  9. M Cusini, A Lukyanov, J Natvig, H Hajibeygi, CPR-based next-generation multiscale simulators, In Proceedings of the 14th European conference on the mathematics of oil recovery p.1-11, EAGE.
  10. K Bhoendie, KP Moe Soe Let, PLJ Zitha, L Pirlea, A Hebing, Case study of heavy-oil fluid characterization for gas eor experiments: Main challenges, In SPE heavy and extra heavy oil conference p.1-15, SPE International.