MRST

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 32 articles , 1 standard article )

Showing results 1 to 20 of 32.
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  1. Diaz Cortes, G. B.; Vuik, C.; Jansen, J. D.: On POD-based deflation vectors for DPCG applied to porous media problems (2018)
  2. 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)
  3. Hjuler Christiansen, Lasse; Capolei, Andrea; Bagterp Jørgensen, John: A least squares approach for efficient and reliable short-term versus long-term optimization (2017)
  4. Insuasty, Edwin; Van den Hof, Paul M. J.; Weiland, Siep; Jansen, Jan-Dirk: Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach (2017)
  5. Khor, Cheng Seong; Elkamel, Ali; Shah, Nilay: Optimization methods for petroleum fields development and production systems: a review (2017)
  6. Navabi, Shiva; Khaninezhad, Reza; Jafarpour, Behnam: A unified formulation for generalized oilfield development optimization (2017)
  7. Schneider, Martin; Agélas, Léo; Enchéry, Guillaume; Flemisch, Bernd: Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes (2017)
  8. Stone, D.; Geiger, S.; Lord, G. J.: Asynchronous discrete event schemes for PDEs (2017)
  9. Yang, Haijian; Sun, Shuyu; Yang, Chao: Nonlinearly preconditioned semismooth Newton methods for variational inequality solution of two-phase flow in porous media (2017)
  10. Zhang, Wenjuan; Al Kobaisi, Mohammed: A simplified enhanced MPFA formulation for the elliptic equation on general grids (2017)
  11. Alyoubi, A.; Ganesh, M.: Parallel mixed FEM simulation of a class of single-phase models with non-local operators (2016)
  12. Jesmani, Mansoureh; Bellout, Mathias C.; Hanea, Remus; Foss, Bjarne: Well placement optimization subject to realistic field development constraints (2016)
  13. Krogstad, Stein; Raynaud, Xavier; Nilsen, Halvor Møll: Reservoir management optimization using well-specific upscaling and control switching (2016)
  14. Lie, Knut-Andreas; Nilsen, Halvor Møll; Andersen, Odd; Møyner, Olav: A simulation workflow for large-scale CO$_2$ storage in the Norwegian North Sea (2016)
  15. Moortgat, Joachim; Firoozabadi, Abbas: Mixed-hybrid and vertex-discontinuous-Galerkin finite element modeling of multiphase compositional flow on 3D unstructured grids (2016)
  16. Møyner, Olav; Lie, Knut-Andreas: A multiscale restriction-smoothed basis method for high contrast porous media represented on unstructured grids (2016)
  17. Nilsen, Halvor Møll; Lie, Knut-Andreas; Andersen, Odd: Robust simulation of sharp-interface models for fast estimation of CO$_2$ trapping capacity in large-scale aquifer systems (2016)
  18. Nilsen, Halvor Møll; Lie, Knut-Andreas; Andersen, Odd: Fully-implicit simulation of vertical-equilibrium models with hysteresis and capillary fringe (2016)
  19. Pau, Jion Sean; Pao, William; Yong, Suet Peng: CO2 flow in saline aquifer with salt precipitation (2016)
  20. Perozzi, Lorenzo; Gloaguen, Erwan; Giroux, Bernard; Holliger, Klaus: A stochastic inversion workflow for monitoring the distribution of $\textCO_2$ injected into deep saline aquifers (2016)

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Further publications can be found at: http://www.sintef.no/Projectweb/MRST/Publications/