Page 128 - Fundamentals of Gas Shale Reservoirs
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108   PORE GEOMETRY IN GAS SHALE RESERVOIRS

              It is believed that transport properties of a tight rock are   levels. Every rock may vary in R values depending on its
            dictated by the pore structure (Bustin et al., 2008). Many   pore structure and geometry. The authors stress that the com­
            researchers have attempted and developed mathematical   parisons between the measured and predicted permeability
            models to predict permeability based on pore size such as   based on pore throat size made are indefinite, but they serve
            MICP tests (Dastidar et al., 2007; Pittman, 1992; Rezaee   as an indication of the method that would function better in
            et al., 2006). The aim here was to provide an understanding   evaluating the permeability of a gas shale formation (Al
            of the interrelation between fluid flow and the physical prop­  Hinai et al., 2013).
            erties (pore geometry) of shale samples. Permeability values
            estimated show that most of the theoretical and empirical   5.7.5 mineralogy
            values overestimate permeability of shale rocks (Fig. 5.31).
              Mercury saturations from 15 to 75% were used to eval­  These siliceous and organically rich shales are marked by a
            uate the relationship between permeability, porosity, and   strong component of clay minerals, with up to 56% kaolinite
            pore throat radius at each saturation. Multiregression anal­  and I/S mixed layers. The I/S mixed layers are slightly swell­
            ysis  was  used  to  establish  various  relationships  between   ing clays with structural attributes from both illite and smec­
            porosity and pore throat size and permeability. The approach   tite clay minerals.
            was to develop empirical equations for calculating perme­  For the samples studied, three types of shales can be
            ability from porosity and pore throat radius at several mer­  classified according to their clay types: (i) low I/S but high
            cury saturation percentiles.  The best correlation for the   kaolinite (CCM); (ii) high I/S but low kaolinite (PCM); and
            samples studied is:                                  (iii) high I/S and high kaolinite (PCM and PKM).  The
                                                                 images obtained from SEM show that kaolinite is dominant
                  logk  37 .255 6 .345 log  15 .227 log R 75     clay in CCM and part of PCM. The I/S clays dominant in
                                                                 PCM and PKM are mostly found around the pores and
            where k is permeability in nanodarcy, porosity in percentage,   coating the grains or often plugging the pore throats. It is
            and R  is the pore throat size in microns when a sample is   therefore expected to see I/S clay‐bearing formations that
                 75
            75% saturated with mercury. Pore throat radius does not   are fluid‐trapping mechanisms leading to degraded flow
            display exclusivity at some definite mercury saturation   dynamics.


                                       Winland K (nD)                       OU method K (nD)
                        10,000


                           100
                        Measured K (nD)  0.01 1








                        0.0001
                        10,000


                           100
                        Measured K (nD)  0.01 1








                        0.0001
                            0.0001  0.01     1      100   10,000 0.0001   0.01     1      100    10,000
                                        Pittman K (nD)                       Developed K (nD)
                          FIGurE 5.31  Predicted permeability from MICP models versus laboratory measured permeability.
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