NMR Facies Definition for Permo-Triassic Kangan/Dalan Carbonate Formation by Use of Core/Log and Pore-Scale Measurements
- Alireza Mardani (Petropars Limited) | Reza Rezaee (Curtin University) | Ashkan Asadi (Pars Oil and Gas Company (POGC))
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- January 2013
- Document Type
- Journal Paper
- 8 - 18
- 2013. Society of Petroleum Engineers
- 5.8.7 Carbonate Reservoir, 5.6.1 Open hole/cased hole log analysis, 5.5.9 Special Core Analysis, 5.1 Reservoir Characterisation
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- 997 since 2007
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An integrated and quantitative approach is taken here to the Permo-Triassic Kangan/Dalan carbonate formation. We apply pore-network characterization to the problem of the classification of these complex carbonate gas-reservoir rocks. We start with the useful and convenient nuclear-magnetic-resonance (NMR) data on 28 samples to define NMR facies (NMRF). The NMRF grouping is performed with both the relaxivity constant (??2) and the specific-surface-volume (Sgv) data. Seven NMRF have been defined with a combination of core/log NMR data, petrographic image analysis, and mercury-injection examinations for two wells. The advantage of evaluation of the pore spaces rather than grain properties is to discover trends that are not apparent when one uses a conventional sedimentological facies definition. Lithology-independent NMRF exhibit properties that are associated with pore geometry. This should have special importance for the formation evaluation of carbonates.
|File Size||1 MB||Number of Pages||11|
Alsharhan, A.S. and Nairn, A.E.M. 1997. Sedimentary Basins and PetroleumGeology of the Middle East. Amsterdam, The Netherlands: Elsevier.
Amaefule, J.O., Altunbay, M., Tiab, D. et al. 1993. Enhanced ReservoirDescription: Using Core and Log Data to Identify Hydraulic (Flow) Units andPredict Permeability in Uncored Intervals/Wells. Paper SPE 26436 presented atthe SPE Annual Technical Conference and Exhibition, Houston, Texas, 3-6October. http://dx.doi.org/10.2118/26436-MS.
Choquette, P.W. and Pray, L.C. 1970. Geologic Nomenclature andClassification of Porosity in Sedimentary Carbonates. AAPG Bull. 54 (2): 207-250. http://dx.doi.org/10.1306/5D25C98B-16C1-11D7-8645000102C1865D.
Coates, G.R., Xiao, L., and Prammer, M.G. 1999. NMR Logging. Principlesand Applications. Houston, Texas: Haliburton Energy Services.
Flugel, E. 1982. Microfacies Analysis of Limestones. New York:Springer-Verlag.
Friedman, G.M. and Ali, S.A. 1981. Diagenesis of Carbonate Rocks:Cement-Porosity Relationships, Reprint Series No. 10. Tulsa, Oklahoma:Society of Economic Paleontologists and Mineralogists.
Georgi, D.T. and Menger, S.K. 1994. Reservoir Quality, Porosity, andPermeability Relationships--Trans. 14. Paper presented at the Mintrop Seminar,DGMK and Ruhr Universitet Bochum, Germany.
Glorioso, J.C., Aguirre, O., Piotti, G. et al. 2003. Deriving CapillaryPressure and Water Saturation from NMR Transversal Relaxation Times. Paper SPE81057 presented at the SPE Latin American and Caribbean Petroleum EngineeringConference, 27-30 April. http://dx.doi.org/10.2118/81057-MS.
Hardie, L.A. 1987. Dolomitization: A Critical View of Some Current Views.J. Sed. Petrol. 57 (1): 166-183.
Lyne, A.M., Ortenzi, A., Idiomi, M. et al. 2002. Pore NetworkCharacterization. Well#1 Report No. 956, South Pars Gas Field, Iran:Eni-Agip.
Ogilvie, S.R., Cuddy, S., Lindsay, C. et al. 2002. Novel Methods ofPermeability Prediction from NMR Tool Data. Dialog 10.
Ohen, H.A., Ajufo, A., and Curby, F.M. 1995. A Hydraulic (Flow) Unit-BasedModel for the Determination of Petrophysical Properties from NMR RelaxationMeasurements. Paper SPE 30626 presented at the SPE Annual Technical Conferenceand Exhibition, Dallas, Texas, 22-25 October. http://dx.doi.org/10.2118/30626-MS.
Ohen, H.A. Enwere, P.M., and Kier, J. 2001. NMR Relaxivity Grouping or NMRFacies Identification Is Key to Effective Integration of Core Nuclear MagneticResonance Data with Wireline Log. Paper SCA-9942 presented at the InternationalSymposium of the Society of Core Analysts, Murrayfield Stadium, Edinburgh,17-19 September.
Prasad, M. 2003. Velocity-Permeability Relations Within Hydraulic Units.Geophysics 68: 108-117. http://dx.doi.org/10.1190/1.1543198.
Rezaee, M.R., Jafari, A., and Kazemzadeh, E. 2006. Relationships BetweenPermeability, Porosity, and Pore-Throat Size in Carbonate Rocks UsingRegression Analysis and Neural Networks. J. Geophys. Eng. 3(4): 370-376. http://dx.doi.org/10.1088/1742-2132/3/4/008.
Sharland, P.R., Archer, R., Casey, D.M. et al. 2001. Arabian PlateSequence Stratigraphy. GeoArabia Special Publication 2.Manama, Bahrain: Gulf PetroLink (www.gulfpetrolink.com), The Middle EastPetroleum Geoscience Website.
Volotikin, Y., Looyestijn, W.J., Slijkerman, W.F.J. et al. 2001. A PracticalApproach To Obtain Primary Drainage Capillary Pressure Curves from NMR Core andLog Data. Petrophysics 42 (4): 334-343.
Zamani, Z., Karimi, Z., Afshin, S. et al. 2004. Core Analysis and ReservoirCharacterization, Research Institute of Petroleum Industry (RIPI), Well 2Report.