Denis Voskov

Jan Dirk Jansen

Hadi Hajibeygi

Advanced Reservoir Simulation

Delft Advanced Reservoir Simulation (DARSim) research group has been established in 2013 in our section for collective developments of advanced concepts, methods and implementation for reservoir simulation science and practice. DARSim also has been hosting several visitors and lecturers from various international and national institutions. Our students and researchers meet on biweekly basis to discuss their developments, share their findings and most importantly challenges. DARSim is the founding base for simulation of several subsurface processes, acts as the hub of the simulation team for the department and beyond. The applications of our research include Geothermal Energy Production, Renewable Energy Storage, Greenhouse Gas Storage, and Water Resource Management. All our simulators are open-sour, whether for fast prototyping of new multiscale simulation methods and concepts in Matlab (DARSim) or high-performance C++-based simulator (DARTS). In addition, Energi Simulation not-for-profit foundation in Calgary, Canada, sponsors the chair of Hadi Hajibeygi for Multiscale Modeling and Subsurface Storage by gracious yearly donations. This fund is used to hire students and postdocs for simulation science.

Related projects

Complex phase behavior computations for subsurface CO2 injection on GPU platform

Timeline: Sep 2021 – Sep 2025

GPU4CO2 is dedicated to develop appropriate state-of-the-art computational practices and algorithms to effectively perform thermodynamic computations on GPU devices. This requires re-thinking of conventional phase behavior computations usually performed on CPU which will be comprehensively investigated in this project. The results of this investigation will be implemented as an open-source thermodynamic library for phase behavior evaluation of complex fluid interactions relevant to CCS.

Advanced parametrization technique for modeling complex chemical systems in GEOS

Timeline: March 2024 – March 2026

OBL4GEOS connects researchers from TU Delft, Stanford University, and Lawrence Livermore National Laboratory and focuses on the development of advanced parametrization techniques for modeling complex chemical systems relevant to CCS. The project aims to enhance the accuracy and computational efficiency of open-source exascale physical simulator GEOS.

MIRE

Timeline: 2023 - 2027

MIRE is a just-funded project (2023-2027) which stands for Multiscale Integrated Reservoir Earth for fractured media, aiming to further develop our novel multiscale simulation methods for fractured reservoirs on the basis of our own-developed projection-based embedded discrete fracture modeling approach. We aim to step forward the simulation of 3D complex fractured-reservoirs with complex fluid physics whether for CCS, geothermal or hydrogen storage.

Related publications

  1. Hadi Hajibeygi, Jan Dirk Jansen, Olwijn Leeuwenburgh, Denis Voskov, Editorial, In Computational Geosciences: modeling, simulation and data analysis Volume 21 p.833.
  2. Alireza Iranshahr, Denis Voskov, Hamdi A. Tchelepi, Theory and practice of tie-simplex parameterization for compositional reservoir simulation, In Conference Proceedings - 2009 AIChE Annual Meeting, 09AIChE.
  3. M Namdar Zanganeh, Simulation and optimization of foam EOR processes
  4. R Markovinovic, System-theoretical model reduction for reservoir simulation and optimization
  5. R Farajzadeh, AA Eftekhari, H Hajibeygi, JM van der Meer, S Vincent-Bonnieu, WR Rossen, Simulation of instabilities and fingering in surfactant alternating gas (SAG) foam enhanced oil recovery, In Proceedings of the SPE reservoir simulation symposium p.1-14, SPE.
  6. Denis Voskov, Hamdi A. Tchelepi, Tie simplex based parametrization for compositional reservoir simulation, In 2008 Proceedings of ASME International Mechanical Engineering Congress and Exposition, IMECE 2008 Volume 12 p.73-76.
  7. JFM van Doren, JD Jansen, PMJ Van den Hof, OH Bosgra, Structural identifiability of grid block and geological parameters in reservoir simulation models, In 11th European Conference on the Mathematics of Oil Recovery p.1-9, EAGE.
  8. Gabriela Diaz Cortes, Kees Vuik, Jan Dirk Jansen, Physics-based pre-conditioners for large-scale subsurface flow simulation
  9. Rouhi Farajzadeh, Ehsan Eftekhari, Hadi Hajibeygi, Siavash Kahrobaei, Jakolien van der Meer, Sebastien Vincent-Bonnieu, Bill Rossen, Simulation of instabilities and fingering in surfactant alternating gas (SAG) foam enhanced oil recovery, In Journal of Natural Gas Science and Engineering p.1191–1204.
  10. DVA Da Silva, JD Jansen, A review of coupled dynamic well-reservoir simulation, In Proceedings of the 2nd IFAC workshop on automatic control in offshore oil and gas production, OOGP 2015 p.236-241, IFAC.