The MATLAB Reservoir Simulation Toolbox is developed by SINTEF Applied Matemathics and is a result of our research on the development of new (multiscale) computational methodologies. The toolbox consists of a comprehensive set of routines and data structures for reading, representing, processing, and visualizing unstructured grids, with particular emphasis on the corner-point format used within the petroleum industry. The package is currently geared towards single- and two-phase flow and contains a set of mimetic and multiscale flow solvers and a few simple transport solvers capable of handling general unstructured grids. The toolbox is intended for rapid prototyping on complex (corner-point) grids and demonstration of the multiscale simulation concept. For more computationally challenging cases (e.g., models with more than 100 000 cells), we are developing a similar C++ toolbox, which is not yet publicly available.

References in zbMATH (referenced in 63 articles , 1 standard article )

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  1. Demidov, D.: AMGCL: an efficient, flexible, and extensible algebraic multigrid implementation (2019)
  2. Lie, Knut-Andreas: An introduction to reservoir simulation using MATLAB/GNU Octave. User guide for the MATLAB reservoir simulation toolbox (MRST) (to appear) (2019)
  3. Møyner, Olav; Nilsen, Halvor Møll: Multiresolution coupled vertical equilibrium model for fast flexible simulation of CO(_2) storage (2019)
  4. Abdul Hamid, S. A.; Muggeridge, A. H.: Analytical solution of polymer slug injection with viscous fingering (2018)
  5. Diaz Cortes, G. B.; Vuik, C.; Jansen, J. D.: On POD-based deflation vectors for DPCG applied to porous media problems (2018)
  6. Garipov, T. T.; Tomin, P.; Rin, R.; Voskov, D. V.; Tchelepi, H. A.: Unified thermo-compositional-mechanical framework for reservoir simulation (2018)
  7. Lie, Knut-Andreas: On Holden’s seven guidelines for scientific computing and development of open-source community software (2018)
  8. Liu, Piyang; Couples, Gary Douglas; Yao, Jun; Huang, Zhaoqin; Song, Wenhui; Ma, Jingsheng: A general method for simulating reactive dissolution in carbonate rocks with arbitrary geometry (2018)
  9. Nilsen, Halvor M.; Nordbotten, Jan; Raynaud, Xavier: Comparison between cell-centered and nodal-based discretization schemes for linear elasticity (2018)
  10. Obembe, Abiola D.; Abu-Khamsin, Sidqi A.; Hossain, M. Enamul; Mustapha, Kassem: Analysis of subdiffusion in disordered and fractured media using a Grünwald-Letnikov fractional calculus model (2018)
  11. Rezaee, Hassan; Marcotte, Denis: Calibration of categorical simulations by evolutionary gradual deformation method (2018)
  12. Trehan, Sumeet; Durlofsky, Louis J.: Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification (2018)
  13. Ucar, Eren; Keilegavlen, Eirik; Berre, Inga; Nordbotten, Jan Martin: A finite-volume discretization for deformation of fractured media (2018)
  14. Allen, Rebecca; Nilsen, Halvor Møll; Andersen, Odd; Lie, Knut-Andreas: On obtaining optimal well rates and placement for CO(_2) storage (2017)
  15. Andersen, Odd; Nilsen, Halvor Møll; Gasda, Sarah: Modeling geomechanical impact of fluid storage in poroelastic media using precomputed response functions (2017)
  16. Andersen, Odd; Nilsen, Halvor M.; Raynaud, Xavier: Virtual element method for geomechanical simulations of reservoir models (2017)
  17. Bao, Kai; Lavrov, Alexandre; Nilsen, Halvor Møll: Numerical modeling of non-Newtonian fluid flow in fractures and porous media (2017)
  18. Bao, Kai; Lie, Knut-Andreas; Møyner, Olav; Liu, Ming: Fully implicit simulation of polymer flooding with MRST (2017)
  19. Codas, Andrés; Hanssen, Kristian G.; Foss, Bjarne; Capolei, Andrea; Bagterp Jørgensen, John: Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures (2017)
  20. Hjuler Christiansen, Lasse; Capolei, Andrea; Bagterp Jørgensen, John: A least squares approach for efficient and reliable short-term versus long-term optimization (2017)

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