Statistical analysis of the porous microstructure as a method for estimating reservoir permeability

Journal of Petroleum Science and Engineering

Volumn 16, Issue 4, 1996, Pages 251-261

  Ioannidis, M A ^a   Kwiecien, M J ^a   Chatzis, I ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Autocorrelation; Geostatistics; Image analysis; Permeability

Indexed keywords

BACKSCATTERING; CORRELATION METHODS; IMAGE ANALYSIS; MATHEMATICAL MODELS; MECHANICAL PERMEABILITY; MICROSTRUCTURE; PETROLEUM RESERVOIRS; POROSITY; POROUS MATERIALS; SCANNING ELECTRON MICROSCOPY;

AUTOCORRELATION FUNCTIONS; GEOSTATISTICS; INTEGRAL CORRELATION SCALE;

ROCKS;

GEOSTATISTICS; IMAGE ANALYSIS; MICROSTRUCTURE; PERMEABILITY; POROSITY; RESERVOIR CHARACTERIZATION;

EID: 0030412159     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0920-4105(96)00044-7     Document Type: Article

References (30)

1. Adler, P.M., Jacquin, C.G. and Quiblier, J.A., 1990. Flow in simulated porous media. Int. J. Multiphase Flow, 16(4): 691-712.
2. Beran, M.J., 1968. Statistical Continuum Theories. Interscience, New York, NY.
3. Berryman, J.G., 1985. Measurement of spatial correlation functions using image processing techniques. J. Appl. Phys., 57(7): 2374-2384.
4. Berryman, J.G. and Blair, S.C., 1986. Use of digital image analysis to estimate fluid permeability of porous materials: Application of two-point correlation functions. J. Appl. Phys., 60(6): 1930-1938.
5. Berryman, J.G. and Milton, G.W., 1985. Normalization constraint for variational bounds on fluid permeability. J. Chem. Phys., 83(2): 754-760.
6. Bourbie, T. and Zinszner, B., 1985. Hydraulic and acoustic properties as a function of porosity in Fontainebleau sandstone. J. Geophys. Res., 90: 11,524-11,532.
7. Bryant, S.L, King, P.R. and Mellor, D.W., 1993a. Network model evaluation of permeability and spatial correlation in a real random sphere packing. Transport Porous Media, 11: 53-70.
8. Bryant, S.L., Cade, C. and Mellor, D.W., 1993b. Permeability prediction from geologic models. Am. Assoc. Pet. Geol. Bull., 77 (8): 1338-1350.
9. Clelland, W.D. and Fens, T.W., 1991. Automated rock characterization with SEM/image analysis techniques. Soc. Pet. Eng. Formation Evaluation, 6(4): 437-443.
10. Constantinides, G. and Payatakes, A.C., 1989. A three-dimensional network model for consolidated porous media: Basic studies. Chem. Eng. Commun., 81: 55-81.
11. Coskun, S.B. and Wardlaw, N.C., 1993. Estimation of permeability from image analysis of reservoir sandstones. J. Pet. Sci. Eng., 10: 1-16.
12. Doyen, P.M., 1988. Permeability, conductivity and pore geometry of sandstones. J. Geophys. Res., 93: 7729-7740.
13. Dullien, F.A.L. and Dhawan, G.K., 1974. Characterization of pore structure by a combination of quantitative photomicrography and mercury porosimetry. J. Colloid Interface Sci., 47: 337-349.
14. Ehrlich, R., Kennedy, S., Crabtree, S.J. and Cannon, R.L., 1984. Petrographic image analysis I: Analysis of reservoir pore complexes. J. Sediment. Petrol., 54: 1365-1378.
15. Ehrlich, R., Etris, E.L., Brumfield, D.S., Yuan, L.P. and Crabtree, S.J., 1991. Petrography and reservoir physics III: Physical models for permeability and formation factor. Am. Assoc. Pet. Eng. Bull., 75 (10): 1579-1592.
16. Frykman, P. and Rogon, T.A., 1993. Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps). Comput. Geosci., 19(7): 887-930.
17. Ioannidis, M.A. and Chatzis, I., 1993. Network modeling of pore structure and transport properties of porous media. Chem. Eng. Sci., 48(5): 951-972.
18. Ioannidis, M.A., Kwiecien, M.J. and Chatzis, I., 1995. Computer generation and application of 3-D model porous media: From pore-level geostatistics to the estimation of formation factor. Presented at Soc. Pet. Eng. Pet. Comput. Conf., Houston, TX, Pap. SPE, 30201: 185-194.
19. Journel, A.G. and Huijbregts, C.J., 1978. Mining Geostatistics. Academic Press, London.
20. Koplik, J., Lin, C. and Vermette, M., 1984. Conductivity and permeability from microgeometry. J. Appl. Phys., 56(11): 3127-3131.
21. Kwiecien, M.J., 1994. On the comprehensive characterization of porous media via computer reconstruction and stochastic modeling. Ph.D. Dissertation, University of Waterloo, Waterloo, Ont.
22. Kwiecien, M.J., Macdonald, I.F. and Dullien, F.A.L., 1990. Three-dimensional reconstruction of porous media from serial section data. J. Microsc., 159: 343-359.
23. Lymberopoulos, D. and Payatakes, A.C., 1992. Derivation of topological, geometrical and correlational properties of porous media from pore-chart analysis of serial section data. J. Colloid Interface Sci., 150(1): 61-80.
24. McCreesh, C.A., Ehrlich, R. and Crabtree, S.J., 1991. Petrography and reservoir physics, II. Relating thin section porosity to capillary pressure. Am. Assoc. Pet. Geol. Bull., 75(10): 1563-1578.
25. Quiblier, J.A., 1984. A new three dimensional modeling technique for studying porous media. J. Colloid Interface Sci., 98: 84-102.
26. Russ, J.C., 1995. The Image Processing Handbook. CRC Press, Boca Raton, FL.
27. Swanson, B.F., 1981. A simple correlation between permeabilities and mercury capillary pressures. J. Pet. Technol., (Dec.), pp. 2488-2504.
28. Thompson, A.H., Katz, A.J. and Raschke, R.A., 1987. Estimation of absolute permeability from capillary pressure measurements. Presented at Soc. Pet. Eng. 62nd Annu. Tech. Conf., Pap. SPE, 16794: 475-481.
29. Wardlaw, N.C. and Cassan, J.P., 1978. Estimation of recovery efficiency by visual observation of pore systems in reservoir rocks. Bull. Can. Pet. Geol., 26: 572-585.
30. Yuan, L., 1989. Image analysis of pore size distribution and its application. In: F.P. Agterberg and G.F. Bonham-Carter (Editors), Statistical Applications in the Earth Sciences. Geol. Surv. Can., Pap., 89-9: 99-107.