Open Access
Numéro
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 76, 2021
Numéro d'article 26
Nombre de pages 15
DOI https://doi.org/10.2516/ogst/2021006
Publié en ligne 14 avril 2021
  • Rios V.S., Santos L.O.S., Quadros F.B., Schiozer D.J. (2019) New upscaling technique for compositional reservoir simulations of miscible gas injection, J. Pet. Sci. Eng. 175, 389–406. [Google Scholar]
  • Christie M.A. (1996) Upscaling for reservoir simulation, Soc. Pet. Eng. 48, 1–4. [Google Scholar]
  • Durlofsky L.J. (2003) Upscaling of geocellular models for reservoir flow simulation: a review of recent progress, in: 7th International Forum on Reservoir Simulation, Bühl/Baden-Baden, Germany, pp. 23–27. [Google Scholar]
  • Durlofsky L.J. (2005) Upscaling and gridding of fine scale geological models for flow simulation, in: 8th International Forum on Reservoir Simulation, Stresa, Italy, June 20–24, 2005, pp. 1–10. [Google Scholar]
  • McKee F., Preux C., Berthon C. (2012) Homogenization of relative permeabilities curves for two-phase flow in porous media using an optimization method, in: ECMOR XIII, 13th European Conference on the Mathematics of Oil Recovery, Biarritz, France, Sep 10–13, 2012. [Google Scholar]
  • Ma L., Dowey P.J., Rutter E., Taylor K.G., Lee P. D (2019) A novel upscaling procedure for characterizing heterogeneous shale porosity from nanometer-to millimeter-scale in 3D, Energy 181, 1285–1297. [Google Scholar]
  • Liao Q., Lei G., Wei Z., Zhang D., Patil S. (2020) Efficient analytical upscaling method for elliptic equations in three-dimensional heterogeneous anisotropic media, J. Hydrol. 583, 124560. [Google Scholar]
  • Preux C., Le Ravalec M., Enchéry G. (2016) Selecting an appropriate upscaled reservoir model based on connectivity analysis, Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles 71, 5, 60. [Google Scholar]
  • Noetinger B., Zargar G. (2004) Multiscale description and upscaling of fluid flow in subsurface reservoirs, Oil Gas Sci. Technol. - Rev. IFP Energies nouvelles 59, 2, 119–139. [Google Scholar]
  • Panda M.N., Mosher C.C., Chopra A. (2000) Application of wavelet transforms to reservoir-data analysis and scaling, SPE J. 5, 92–101. [Google Scholar]
  • Rasaei M.R., Sahimi M.R. (2008) Upscaling and simulation of waterflooding in heterogeneous reservoirs using wavelet transformations: Application to the SPE-10 model, Transp. Porous Med. 72, 311–338. [Google Scholar]
  • Rasaei M.R., Sahimi M. (2009) Upscaling of the permeability by multiscale wavelet transformations and simulation of multiphase flows in heterogeneous porous media, Comput. Geosci. 13, 187–214. [Google Scholar]
  • Ebrahimi F., Sahimi M. (2004) Multiresolution wavelet upscaling of unstable miscible displacements in flow through heterogeneous porous media, Transp. Porous Med. 57, 75–102. [Google Scholar]
  • Ebrahimi F., Sahimi M. (2006) Grid coarsening, simulation of transport processes in, and scale-up of heterogeneous media: application of multiresolution wavelet transformations, Mech. Mater. 38, 772–785. [Google Scholar]
  • Marquez R.Y., Araujo M. (2006) Wavelet analysis for upscaling of two dimensional permeability fields, Física del Petróleo 52, 76–80. [Google Scholar]
  • Pancaldi V., King P.R., Christensen K. (2007) Wavelet-based upscaling of advection equations, Phys. A. 387, 4760–4770. [Google Scholar]
  • Pancaldi V. (2008) Coarse graining equations for flow in porous media: a Haar wavelets and renormalization approach, PhD Thesis, Imperial College London, 189 p. [Google Scholar]
  • Moslehi M., de Barros F.P.J., Ebrahimi F., Sahimi M. (2016) Upscaling of solute transport in disordered porous media by wavelet transformations, Adv. Water Res. 96, 180–189. [Google Scholar]
  • Bouard L., Duval L., Preux C., Payan F., Antonii M. (2019) Refinable-precision in mesh compression for upscaling and upgridding in reservoir simulation with HexaShrink, in: 81st Conference and Exhibition EAGE Annual, London, 2019. [Google Scholar]
  • Lie K.A., Kedia K., Skaflestad B., Wang X., Yang Y., Wu X.H., Hoda N. (2017) A general non-uniform coarsening and upscaling framework for reduced-order modeling, in: SPE Reservoir Simulation Conference, Texas, USA, pp. 1–15. [Google Scholar]
  • Azad M.R., Kamkar-Rouhani A., Tokhmechi B., Arashi M. (2019) Determination of optimal bandwidth in upscaling process of reservoir data using kernel function bandwidth, J. Min. Environ. 10, 3, 613–621. [Google Scholar]
  • Azad M.R., Kamkar-Rouhani A., Tokhmechi B., Arashi M. (2019) Simultaneous upscaling of two properties of reservoirs in one dimension using adaptive bandwidth in kernel function method, Pet. Explor. Dev. 46, 4, 756–762. [Google Scholar]
  • Azad M.R., Kamkar-Rouhani A., Tokhmechi B., Arashi M. (2019) Multiresolution simultaneous upscaling of two features of the reservoir using the bandwidth of the kernel function and wavelet transformation, J. Pet. Sci. Eng. https://doi.org/10.1016/j.petrol.2019.106697. [Google Scholar]
  • Christie M.A., Blunt M.J. (2001) Tenth SPE comparative solution project: a comparison of upscaling techniques, Soc. Pet. Eng. 4, 1–10. [Google Scholar]
  • Chen T., Gewecke N., Li Z., Aubiano A., Shuttleworth R., Yang B., Zhong X. (2009) Fast computational methods for reservoir flow models, 1–20. [Google Scholar]
  • Silverman B.W. (1986) Density estimation for statistics and data analysis, Chapman & Hall/CRC. [Google Scholar]
  • Simonoff J.S. (1996) Smoothing methods in statistics, in: Springer Series in Statistics, Springer, 340 p. [Google Scholar]
  • Wang Sh, Li A., Wen K., Wu X. (2020) Robust kernels for kernel density estimation, Econ. Lett. 191, 109138. [Google Scholar]
  • Raykar V.C., Duraiswami R., Zhao L.H. (2010) Fast computation of kernel estimators, J. Comput. Graph. Stat. 19, 205–220. [Google Scholar]
  • Heidarinasab A., Dabir B., Sahimi M. (2004) Multiresolution wavelet-based simulation of transport and photochemical reactions in the atmosphere, Atmos. Environ. 38, 37, 6381–6397. [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.