Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Open Access
Issue
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Number 5, September–October 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Article Number 59
Number of page(s) 11
DOI https://doi.org/10.2516/ogst/2016009
Published online 02 September 2016
  • Lake L.W. (1989) Enhanced Oil Recovery. Prentice Hall Inc., Old Tappan, NJ.
  • Eriksson K., Johnson C. (1995) Adaptive finite element methods for parabolic problems, IV. Nonlinear problems, SIAM J. Numer. Anal. 32, 6, 1729–1749.
  • Verfürth R. (1998) A posteriori error estimates for nonlinear problems: Lr(0, T;W1,ρ(Ω))-error estimates for finite element discretizations of parabolic equations, Numer. Methods Partial Differential Equations 14, 4, 487–518. [CrossRef] [MathSciNet]
  • Verfürth R. (1998) A posteriori error estimates for nonlinear problems. Lr(0, T; Lρ(Ω))-error estimates for finite element discretizations of parabolic equations, Math. Comp. 67, 224, 1335–1360. [CrossRef] [MathSciNet]
  • Nochetto R.H., Schmidt A., Verdi C. (2000) A posteriori error estimation and adaptivity for degenerate parabolic problems, Math. Comp. 69, 229, 1–24. [CrossRef] [MathSciNet]
  • Ohlberger M. (2001) A posteriori error estimate for finite volume approximations to singularly perturbed nonlinear convection–diffusion equations, Numer. Math. 87, 4, 737–761. [CrossRef] [MathSciNet]
  • Di Pietro D.A., Vohralík M., Yousef S. (2015) Adaptive regularization, linearization, and discretization and a posteriori error control for the two-phase stefan problem, Math. Comput. 84, 291.
  • Cancès C., Pop I.S., Vohralík M. (2013) An a posteriori error estimate for vertex-centered finite volume discretizations of immiscible incompressible two-phase flow, Math. Comp. doi: 10.1090/S0025-5718-2013-02723-8.
  • Vohralík M., Wheeler M.F. (2013) A posteriori error estimates, stopping criteria, and adaptivity for two-phase flows, Computational Geosciences 17, 5, 789–812. [CrossRef] [MathSciNet]
  • Di Pietro D.A., Flauraud E., Vohralík M., Yousef S. (2014) A posteriori error estimates, stopping criteria, and adaptivity for multiphase compositional Darcy flows in porous media, J. Comput. Phys. 276, 163–187. [CrossRef]
  • Di Pietro D.A., Vohralík M., Yousef S. (2014) An a posteriori-based, fully adaptive algorithm with adaptive stopping criteria and mesh refinement for thermal multiphase compositional flows in porous media, Computers & Mathematics with Applications 68, 12, Part B, 2331–2347. [CrossRef] [MathSciNet]
  • Eymard R., Gallouët T., Herbin R. (2000) The finite volume method, Vol. 7, Handbook of Numerical Analysis, P.G. Ciarlet and J.-L. Lions (eds), North Holland.
  • Brezzi F., Fortin M. (1991) Mixed and hybrid finite element methods, Vol. 15 of Springer Series in Computational Mathematics, Springer-Verlag, New York, ISBN 0-387-97582-9. [CrossRef]
  • Mesri Y., Gratien J.-M., Ricois O.M., Gayno R., et al. (2013) Parallel adaptive mesh refinement for capturing front displacements: Application to thermal eor processes, in SPE Reservoir Characterization and Simulation Conference and Exhibition, Society of Petroleum Engineers. doi: 10.2118/166058-MS.
  • Grospellier G., Lelandais B. (2009) The arcane development framework, in Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing, POOSC ’09, pp. 4:1–4:11, New York, NY, USA.
  • Mesri Y., Ricois O. (2015) Construction process for an improved meshing for the simulation of a reservoir in an underground formation, URL http://brevets-patents.ic.gc.ca/opic-cipo/cpd/fra/brevet/2886110/
  • Christie M.A., Blunt M.J. (2001) Tenth SPE Comparative Solution Project:A Comparison of Upscaling Techniques. Reservoir Simulation Symposium.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.