- Ahr W.M. (2008) Geology of carbonate reservoirs: the identification, description, and characterization of hydrocarbon reservoirs in carbonate rocks, John Wiley and Sons, New Jersey. [Google Scholar]
- Al-Dhafeeri A.M., Nasr-El-Din H.A. (2006) Characteristics of high-permeability zones using core analysis, and production logging data, J. Pet. Sci. Eng. 55, 1–2, 18–36, http://dx.doi.org/10.1016/j.petrol.2006.04.019. [CrossRef] [Google Scholar]
- Al-Otaibi S.S., Al-Majed A. (1998) Factors affecting pseudo relative permeability curves, J. Pet. Sci. Eng. 21, 3, 249–261, http://dx.doi.org/10.1016/S0920-4105(98)00070-9. [CrossRef] [Google Scholar]
- Boyd A., Souza A., Carneiro G., Machado V., Trevisan W., Santos B., Netto P., Bagueira R., Polinski R., Bertolini A. (2015) Presalt Carbonate Evaluation for Santos Basin, Offshore Brazil, Soc. Petrophys. Well-log Analyst. 56, 6, 577–591. [Google Scholar]
- Corbett P.W.M., Jensen J.L. (1992) Estimating the mean permeability: how many measurements do you need? First Break 10, 3, 89–94. [Google Scholar]
- Correia M.G., Maschio C., Schiozer D.J., Santos M.S. (2014) Upscaling approach for meso-scale heterogeneities in naturally fractured carbonate reservoirs, J. Pet. Sci. Eng. 115, 90–101, http://doi.org/10.1016/j.petrol.2014.01.008. [CrossRef] [Google Scholar]
- Correia M., Hohendorff J., Gaspar A.T.F.S., Schiozer D. (2015) UNISIM-II-D: Benchmark case proposal based on a carbonate reservoir, in: SPE Latin American and Caribbean Petroleum Engineering Conference, Quito, Ecuador, http://dx.doi.org/10.2118/177140-MS. [Google Scholar]
- Ding D.Y. (2004) Near-well upscaling for reservoir simulations, Oil Gas Sci. Technol. 59, 2, 157–165. [Google Scholar]
- Ding D.Y. (2011) Coupled simulation of near-wellbore and reservoir models, J. Pet. Sci. Eng. 76, 21–36. [Google Scholar]
- Ding D.Y., Wu Y.S., Jeannin L. (2014) Efficient simulation of hydraulic fractured wells in unconventional reservoirs, J. Pet. Sci. Eng. 122, 631–642. [CrossRef] [Google Scholar]
- Eltom H., Makkawi M., Abdullatif O., Alramadan K. (2013) High-resolution facies and porosity models of the upper Jurassic Arab-D carbonate reservoir using an outcrop analogue, central Saudi Arabia, Arab. J. Geosci. 6, 11, 4323–4335. [CrossRef] [Google Scholar]
- Fahad M., Hussain F., Rahman S.S., Cinar Y. (2017) Experimental investigation of upscaling relative permeability for two-phase flow in fractured porous media, J. Pet. Sci. Eng. 149, 367–382, http://dx.doi.org/10.1016/j.petrol.2016.10.013. [CrossRef] [Google Scholar]
- Fayazi A., Bagherzadeh H., Shahrabadi A. (2016) Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history-matching algorithm, J. Pet. Sci. Eng. 140, 154–163, http://dx.doi.org/10.1016/j.petrol.2016.01.013. [CrossRef] [Google Scholar]
- Garland J., Neilson J., Laubach S.E., Whidden K.J. (2012) Advances in carbonate exploration and reservoir analysis, Geological Society, London, Special publications, 370, pp. 1–15. [Google Scholar]
- Hearn C.L. (1971) Simulation of stratified waterflooding by pseudo relative permeability curves, J. Pet. Technol. 23, 7, 805–813, http://dx.doi.org/10.2118/2929-PA. [CrossRef] [Google Scholar]
- Kheriji W., Masson R., Moncorge A. (2015) Nearwell local space and time refinement in reservoir simulation, Math. Comp. Simul. 118, 273–292, http://dx.doi.org/10.1016/j.matcom.2014.11.022. [CrossRef] [Google Scholar]
- Li H., Chen Y., Rojas D., Kumar M. (2014) Development and application of near-well multiphase upscaling for forecasting of heavy oil primary production, J. Pet. Sci. Eng. 113, 81–93, http://dx.doi.org/10.1016/j.petrol.2014.01.002. [CrossRef] [Google Scholar]
- Maschio C., Schiozer D.J. (2016) Probabilistic history matching using discrete latin hypercube sampling and nonparametric density estimation, J. Pet. Sci. Eng. 147, 98–115, https://doi.org/10.1016/j.petrol.2016.05.011. [Google Scholar]
- Noetinger B., Zargar G. (2004) Multiscale description and upscaling of fluid flow in subsurface reservoirs. Oil Gas Sci. Technol. 59, 2, 119–139, https://doi.org/10.2516/ogst:2004010. [Google Scholar]
- Oda M. (1985) Permeability tensor for discontinuous rock mass, Geotechnique 35, 4, 483–495. [CrossRef] [Google Scholar]
- Panja P., Conner T., Deo M. (2013) Grid sensitivity studies in hydraulically fractured low permeability reservoirs, J. Pet. Sci. Eng. 112, 78–87, http://dx.doi.org/10.1016/j.petrol.2013.10.009. [CrossRef] [Google Scholar]
- Peng X., Liang B., Du Z., Wang M. (2017) Practical simulation of multi-porosity reservoirs through existing reservoir simulator, J. Pet. Sci. Eng. 151, 409–420, http://dx.doi.org/10.1016/j.petrol.2017.01.027. [CrossRef] [Google Scholar]
- Preux C., Ravalec M., Enchéry G. (2016) Selecting an appropriate upscaled reservoir model based on connectivity analysis, Oil Gas Sci. Technol. 71, 60, https://doi.org/10.2516/ogst/2016015. [Google Scholar]
- Voelker J., Liu J., Caers J. (2003) A geostatistical method for characterizing superpermeability from flow-meter data: application to Ghawar field, in: SPE Annual Technical Conference and Exhibition held in Denver, Colorado, USA, October 5–8, http://dx.doi.org/10.2118/84279-MS. [Google Scholar]
Open Access
Numéro |
Oil & Gas Science and Technology - Rev. IFP Energies nouvelles
Volume 73, 2018
|
|
---|---|---|
Numéro d'article | 5 | |
Nombre de pages | 14 | |
DOI | https://doi.org/10.2516/ogst/2017043 | |
Publié en ligne | 20 février 2018 |
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.