Petrography and reservoir physics I: Objective classification of reservoir porosity

Porosity observed in thin section can be objectively classified using a combination of digital acquisition procedures and pattern recognition algorithms. Pore types are derived from the frequency distributions of sizes and shapes of patches of porosity exposed in thin section. Each pore type is represented by a characteristic distribution of sizes and shapes found in thin section. Most sandstone reservoirs contain fewer than six pore types. Much of the intersample variability in reservoir physics is associated with changes in pore type abundance. The advantages of this approach to porosity classification are (1) the criteria for classification are objectively defined, (2) classification procedure is rapid, accurate, and precise, (3) pore types are understood easily in ter s of conventional genetic classification schemes, and (4) pore type data are related strongly to petrophysical properties.

[1]  N. Morrow,et al.  Porosity and permeability of unconsolidated, upper Miocene sands from grain-size analysis , 1969 .

[2]  G. E. Archie,et al.  Classification of Carbonate Reservoir Rocks and Petrophysical Considerations , 1952 .

[3]  J. Imbrie,et al.  Classification of Modern Bahamian Carbonate Sediments , 1962 .

[4]  Tim T. Schowalter.  Mechanics of Secondary Hydrocarbon Migration and Entrapment , 1979 .

[5]  K. Ruzyla,et al.  Staining Method for Recognition of Pore Space in Thin and Polished Sections: RESEARCH METHOD PAPER , 1987 .

[6]  B. F. Swanson.  Visualizing Pores and Nonwetting Phase in Porous Rock , 1979 .

[7]  F. Dullien,et al.  Bivariate pore-size distributions of some sandstones , 1975 .

[8]  Adrian E. Scheidegger,et al.  The physics of flow through porous media , 1957 .

[9]  R. G. Swanson,et al.  Sample examination manual , 1981 .

[10]  W. Full,et al.  Optimal Configuration and Information Content of Sets of Frequency Distributions , 1984 .

[11]  Ioannis Chatzis,et al.  Magnitude and Detailed Structure of Residual Oil Saturation , 1983 .

[12]  F. Dullien,et al.  Determination of the Structure of Porous Media , 1970 .

[13]  M. Rink.  A computerized quantitative image analysis procedure for investigating features and an adapted image process * , 1976 .

[14]  P. K. Weyl,et al.  Influence of Texture on Porosity and Permeability of Unconsolidated Sand , 1973 .

[15]  P. Choquette,et al.  Geologic Nomenclature and Classification of Porosity in Sedimentary Carbonates , 1970 .

[16]  J. E. Klovan,et al.  EXTENDED QMODEL—objective definition of external end members in the analysis of mixtures , 1981 .

[17]  R. Ehrlich,et al.  Pore-Size Distribution And NMR In Microporous Cherty Sandstones , 1989 .

[18]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[19]  D. T. Gordon,et al.  Influence of Pore Geometry on Water-Oil Relative Permeability , 1970 .

[20]  J. E. Klovan,et al.  An algorithm andFortran-iv program for large-scaleQ-mode factor analysis and calculation of factor scores , 1971 .

[21]  Robert Ehrlich,et al.  Evaluation of strategies for segmentation of blue-dyed pores in thin sections of reservoir rocks , 1984, Comput. Vis. Graph. Image Process..

[22]  R. Ehrlich,et al.  Petrographic Image Analysis, I. Analysis of Reservoir Pore Complexes , 1984 .

[23]  N. Wardlaw,et al.  Mercury porosimetry and the interpretation of pore geometry in sedimentary rocks and artificial models , 1981 .

[24]  D. L. Johnson,et al.  Effect Of Spherical Pores On Sonic And Resistivity Measurements , 1985 .

[25]  A. T. Miesch.  Q-mode factor analysis of geochemical and petrologic data matrices with constant row-sums , 1976 .

[26]  N. Wardlaw,et al.  Sensitivity of drainage and imbibition to pore structures as revealed by computer simulation of displacement process , 1986 .

[27]  N. Morrow.  Small-Scale Packing Heterogeneities in Porous Sedimentary Rocks , 1971 .

[28]  T. Kortekaas.  Water/Oil Displacement Characteristics in Crossbedded Reservoir Zones , 1985 .

[29]  J. E. Klovan,et al.  Extended cabfac and Qmodel computer programs for Q-mode factor analysis of compositional data , 1976 .

[30]  P. D. Hess,et al.  Interpretation of Subsurface Hydrocarbon Shows , 1982 .

[31]  G. Chilingar,et al.  Teodorovich's Method for Determining Permeability from Pore-Space Characteristics of Carbonate Rocks: GEOLOGICAL NOTES , 1960 .

[32]  E. Pittman.  Effect of Fault-Related Granulation on Porosity and Permeability of Quartz Sandstones, Simpson Group (Ordovician), Oklahoma , 1981 .

[33]  C. Marlé.  Multiphase Flow in Porous Media , 1981 .

[34]  Edward D. Pittman,et al.  Use of Pore Casts and Scanning Electron Microscope to Study Pore Geometry , 1970 .

[35]  E. Pittman,et al.  Bimodal Porosity in Oolitic Reservoir--Effect on Productivity and Log Response, Rodessa Limestone (Lower Cretaceous), East Texas Basin , 1983 .

[36]  N. Wardlaw,et al.  Mercury Capillary Pressure Curves and the Intepretation of Pore Structure and Capillary Behaviour in Reservoir Rocks , 1976 .

[37]  Morrel H. Cohen,et al.  Quantitative methods for microgeometric modeling , 1982 .

[38]  R. R. Berg,et al.  Capillary Pressures in Stratigraphic Traps , 1975 .