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 48 articles , 1 standard article )

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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. Garipov, T. T.; Tomin, P.; Rin, R.; Voskov, D. V.; Tchelepi, H. A.: Unified thermo-compositional-mechanical framework for reservoir simulation (2018)
  3. Lie, Knut-Andreas: On Holden’s seven guidelines for scientific computing and development of open-source community software (2018)
  4. Allen, Rebecca; Nilsen, Halvor Møll; Andersen, Odd; Lie, Knut-Andreas: On obtaining optimal well rates and placement for CO$_2$ storage (2017)
  5. Andersen, Odd; Nilsen, Halvor Møll; Gasda, Sarah: Modeling geomechanical impact of fluid storage in poroelastic media using precomputed response functions (2017)
  6. Andersen, Odd; Nilsen, Halvor M.; Raynaud, Xavier: Virtual element method for geomechanical simulations of reservoir models (2017)
  7. Bao, Kai; Lavrov, Alexandre; Nilsen, Halvor Møll: Numerical modeling of non-Newtonian fluid flow in fractures and porous media (2017)
  8. Bao, Kai; Lie, Knut-Andreas; Møyner, Olav; Liu, Ming: Fully implicit simulation of polymer flooding with MRST (2017)
  9. 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)
  10. Hjuler Christiansen, Lasse; Capolei, Andrea; Bagterp Jørgensen, John: A least squares approach for efficient and reliable short-term versus long-term optimization (2017)
  11. 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)
  12. Khor, Cheng Seong; Elkamel, Ali; Shah, Nilay: Optimization methods for petroleum fields development and production systems: a review (2017)
  13. Krogstad, Stein; Lie, Knut-Andreas; Nilsen, Halvor Møll; Berg, Carl Fredrik; Kippe, Vegard: Efficient flow diagnostics proxies for polymer flooding (2017)
  14. Mykkeltvedt, Trine S.; Raynaud, Xavier; Lie, Knut-Andreas: Fully implicit higher-order schemes applied to polymer flooding (2017)
  15. Navabi, Shiva; Khaninezhad, Reza; Jafarpour, Behnam: A unified formulation for generalized oilfield development optimization (2017)
  16. Nilsen, Halvor Møll; Larsen, Idar; Raynaud, Xavier: Combining the modified discrete element method with the virtual element method for fracturing of porous media (2017)
  17. Schneider, Martin; Agélas, Léo; Enchéry, Guillaume; Flemisch, Bernd: Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes (2017)
  18. Stone, D.; Geiger, S.; Lord, G. J.: Asynchronous discrete event schemes for PDEs (2017)
  19. Yang, Haijian; Sun, Shuyu; Yang, Chao: Nonlinearly preconditioned semismooth Newton methods for variational inequality solution of two-phase flow in porous media (2017)
  20. Zhang, Kai; Zhang, Xiaoming; Zhang, Liming; Li, Lixin; Sun, Hai; Huang, Zhaoqin; Yao, Jun: Assisted history matching for the inversion of fractures based on discrete fracture-matrix model with different combinations of inversion parameters (2017)

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