Open Access
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 75, 2020
Article Number 66
Number of page(s) 9
Published online 01 October 2020
  • Adams S.J. (2016) Saturation-height modelling for reservoir description, The Petrophysicist Limited. [Google Scholar]
  • Harrison B., Jing X.D. (2001) Saturation-height methods and their impact on volumetric hydrocarbon in place estimates, in: SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, New Orleans. [Google Scholar]
  • Skelt C., Harrison B. (1995) An Integrated Approach to Saturation-Height Analysis, in: 36th Annual Logging Symposium, Society of Petroleum Engineers. [Google Scholar]
  • Alger R.P., Luffel D.L., Truman R.B. (1989) New unified method of integrating core capillary pressure data with well logs, SPE Form. Eval. 4, 2, 145–152. [CrossRef] [Google Scholar]
  • Leverett M.C. (1941) Capillary behavior in porous solids, AIME Trans. 142, 152–168. [CrossRef] [Google Scholar]
  • Wang M. (2013) Improvement and analysis of carbonate reservoir saturation model, Journal of Southwest Petroleum University (Science & Technology Edition) 35, 5, 31–40. [Google Scholar]
  • Amin A.T., Watfa M., Awad M.A. (1987) Accurate estimation of water saturations in complex carbonate reservoirs, SPE15714, Society of Petroleum Engineers. [Google Scholar]
  • Deutsch C.V. (2014) Geostatistical reservoir modeling (H), Oxford University Press, p.113. [Google Scholar]
  • Hu Y., Yu X.H., Hen G.Y. (2012) Classification of the average capillary pressure function and its application in calculating fluid saturation, Petrol. Explor. Dev. 39, 6, 733–738. [Google Scholar]
  • Elgaghah S.A., Tiab D., Osisanya S.O. (2001) A new approach for obtaining J-function in clean and shaly reservoir in situ measurements, J. Can. Petrol. Technol. 40, 7, 30–37. [Google Scholar]
  • Obeida T.A., Al-Mehairi Y.S., Suryanarayana K. (2005) Calculation of fluid saturations from log-derived J-functions in giant complex reservoir, SPE Annual Conference and Exhibition, Dallas. [Google Scholar]
  • Basioni M., Negahban S., Dawoud A.M., Mahdi A.E., Bahamaish J.N. (2007) An empirical saturation modeling of a complex carbonate Abu Dhabi reservoir using the routine highpressure mercury and oil/water capillary pressure data, in: SPE Middle East Oil and Gas Show and Conference, 11–14 March, Manama, Bahrain. [Google Scholar]
  • Jerrylucia B. (2007) Carbonate reservoir characterization, Springer, Berlin Heidelberg. [Google Scholar]
  • Guo G., Diaz M.A., Paz F.J., Smalley J., Waninger E.A. (2007) Rock typing as an effective tool for permeability and water-saturation modeling: A case study in a clastic reservoir in the Oriente basin, SPE Reserv. Eval. Eng. 10, 6, 730–739. [CrossRef] [Google Scholar]
  • Amyx J.W., Bass D.M.J., Whiting R L. (1960) Petroleum reservoir engineering: physical properties, in: Petroleum Reservoir Engineering Physical Properties, McGraw-Hill, p. 610. [Google Scholar]
  • Shen P.P., Chen X.L., Qin J.S. (2010) Pressure characteristics in CO2 flooding experiments, Petrol. Explor. Dev. 37, 2, 211–215. [Google Scholar]
  • Xu C.F., Liu H.X., Qian G.B., Qin J.H. (2011) Microcosmic mechanisms of water-oil displacement in conglomerate reservoirs in Karamay Oilfield, NW China, Petrol. Explor. Dev. 38, 6, 725–732. [CrossRef] [Google Scholar]
  • Dunham R.J. (1962) Classification of carbonates rocks according to depositional texture 1, AAPG Memoir 1, 108–121. [Google Scholar]
  • Hollis C., Vahrenkamp V., Tull S., Mookerjee A., Taberner C., Huang Y. (2010) Pore system characterization in heterogeneous carbonates: An alternative approach to widely-used rock-typing methodologies, Marine Petrol. Geol. 27, 4, 772–793. [CrossRef] [Google Scholar]
  • Skalinski M., Gottlib-Zeh S., Moss B. (2006) Defining and predicting rock types in carbonates – preliminary results from an integrated approach using core and log data from the Tengiz field, J. Geophys. Res. Biogeosci. 47, 1, 328–340. [Google Scholar]
  • Tan X.Q., Lian P.Q., Qiu M.J., Li Y.H., Dong G.W. (2013) Rock type-constrained geological modeling of carbonate reservoirs: a case study of carbonate reservoir A in the Zagros Basin, Oil & Gas Geology 34, 4, 558–564. [Google Scholar]
  • Salman S., Bellah S. (2009) Rock typing: An integrated reservoir characterization tool to construct a robust geological model in Abu Dhabi carbonate oil field, in: SPE/EAGE Reservoir Characterization & Simulation Conference, Society of Petroleum Engineers. [Google Scholar]
  • Venkitadri V.S., Shebl H.T., Shibasaki T., Dabbouk C.A., Salman S.M. (2005) Reservoir rock type definition in a giant cretaceous carbonate, in: SPE Middle East Oil and Gas Show and Conference, Society of Petroleum Engineers. [Google Scholar]
  • Gonçalves E.C., Silva P.N.D., Silveira C.S., Carneiro G., Domingues A.B., Moss A., Pritchard T., Plastino A., de Vasconcellos Azeredo R.B. (2017) Prediction of carbonate rock type from NMR responses using data mining techniques, J. Appl. Geophys. 140, 93–101. [CrossRef] [Google Scholar]
  • Al-Habshi A., Darwish A.R., Hamdy T., Shebl H. (2003) Application of sequence stratigraphy and petrography in preparation of reservoir rock typing scheme in one of Thamama Gas reservoirs of onshore Abu Dhabi, SPE81533, in: Middle East Oil Show, 9–12 June, Bahrain. [Google Scholar]
  • Mitra C., Riyaz K. (2009) Rock typing in a carbonate reservoir – cooperation of core and log data: case study, SPE 123703, in: SPE/EAGE Reservoir Characterization and Simulation Conference, 19–21 October, Abu Dhabi, UAE. [Google Scholar]
  • Nurul I.I., Shane L., Arns C.H. (2013) Rock-typing using the complete set of addictive morphological descriptors, SPE165989, in: SPE Reservoir Characterization and Simulation Conference and Exhibition, 16–18 September, Abu Dhabi, UAE. [Google Scholar]
  • Alhashmi N.F., Torres K., Faisal M., Segura Cornejo V., Bethapudi B.P., Mansur S., Al-Rawahi A.S. (2016) Rock typing classification and hydraulic flow units definition of one of the prolific carbonate reservoir in the onshore Abu Dhabi, SPE-181629-MS, in: SPE Annual Technical Conference and Exhibition, 26–28 September, Dubai, UAE. [Google Scholar]

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.