Page 147 - Fundamentals of Gas Shale Reservoirs
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WELL LOG ANALYSIS OF GAS SHALE RESERVOIRS  127
              The density of the organic matter is low (typically    limestone and dolomite, but they should be clearly distin­
            1.1–1.4 g/cm ) compared to the matrix density (2.6–2.8 g/  guished using (the) GR log. It is believed that organic‐rich
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            cm ) of the shale layers. Due to this low density value, the   shales have low photoelectric values compared  to normal
            presence of organic matter can decrease the measured bulk   shales due to the low PEF values of kerogen (Boyer et al.,
            density of the formation. Moreover, high levels of gas   2006), but there are many mineralogical complexities, and
            content can reduce the bulk density of the gas shale layers.   tracking PEF changes versus organic matter is not possible
            The presence of pyrite (FeS ) and siderite (Fe CO ) found in   most of the time.
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            the organic‐rich shale can elevate formation density.  The
            most favorable environments for siderite formation are   6.4.1.6  Sonic Log  The sonic log measures the speed of
            reducing freshwater systems (potential environment for ker­  sound waves in rocks. Numerical studies suggest that in situ
            ogen type I), while pyrite commonly occurs in marine sedi­  rock parameters such as mineral composition and TOC, as
            ments (potential environment for kerogen type II) (Passey   well as the interaction among them, can significantly
            et al., 2010; Lim et al., 2004).                     influence the sound wave velocities of the organic‐rich
              The density log can give a qualitative indication for esti­  rocks.  The presence of organic matter in gas shale rocks
            mating the thermal maturity of the gas shale layers as well   reduces both the density and the compressional and shear
            (Labani and Rezaee, 2012). For example, in some wells of   wave velocities, and hence the acoustic impedance, while
            the Perth Basin, there is a decreasing trend for density log   increasing the velocity anisotropy (Zhu et al., 2011). Besides
            responses with increasing thermal maturity in the potential   that, the presence of gas and high clay‐bound water, which is
            gas shale layers. Although this relationship is not so strong,   common in shales, can decrease the sonic wave velocity.
            it seems compatible with what occurs in the gas shale layers   The main application of acoustic measurements for gas
            during thermal maturity evolution. By increasing thermal   shale evaluation is to provide (the) mechanical properties for
            maturity in the organic‐rich shale layers, the following   gas shale reservoirs. Full waveform sonic log (shear and
            changes may happen:                                  compressional) can be used for determining the Poisson’s
                                                                 ratio, Young’s modulus, shear modulus, bulk modulus, yield
                 • Changes in the type of saturated fluid from brine to gas  strength, and compressive strength, all of which are impor­
                 • Changing of the heavier components of hydrocarbon   tant for determining the brittle shale intervals (i.e., favorable
                into the lighter ones and finally dry gas        intervals for hydraulic fracturing) (Grieser and Bray, 2007;
                 • Generation of porosity in the organic matter due to its   Alexander et al., 2011). Cross‐dipole shear sonic log can be
                                                                 used for determining velocity anisotropy of the gas shale
                thermal transformation (Loucks et al., 2009)     formations. Velocity  anisotropy  is an  important  parameter
                 • Increase in pore pressure due to mineral transformation   that is of interest in geomechanical applications related to
                (smectite to illite) and hydrocarbon generation  reservoir characterization. A high level of velocity anisot­
                                                                 ropy is primarily due to the lenticular distribution of kerogen
            All of these transformations can result in decreasing density   and preferred orientation of clay mineral parallel to the
            of the formation with increasing thermal maturity. It is worth   bedding plane (Vernik and Milovac, 2011). Velocity anisot­
            mentioning that sometimes the use of the density log and   ropy can give an idea of the formation permeability due to
            NPHI log as a thermal maturity indicator is not possible. For   the higher crack density accompanied with the laminated
            example, the presence of heavy minerals could increase the   organic matter.
            density and hide the decreasing effect of thermal maturity.
            Therefore, it could be said that conventional logs can only   6.4.1.7  Pulsed Neutron Mineralogy Log  Petrophysical
            be used for thermal maturity estimation if the lithology of   evaluation of unconventional reservoirs mainly depends on
            the formation does not vary significantly over the interval   determining the mineralogy of the shale layers. The pulsed
            of interest.                                         neutron mineralogy tool is a kind of unconventional log for
                                                                 determining the mineralogy of the formation.  This tool,
            6.4.1.5  Photoelectric Factor Log  Photoelectric factor   accompanied with a natural GR spectroscopy tool, can deter­
            (PEF) is a kind of density tool that measures the PEF   mine the concentrations of elements available in the matrix
            absorption  of  a formation.  The  photoelectric  absorption   of the gas shale layers including aluminium, carbon, calcium,
            index is used principally for lithological determination. This   iron, gadolinium, potassium, magnesium, sulfur, silicon,
            log is mainly controlled by mean atomic number of the   thorium, titanium, and uranium (Pemper et al., 2006). Each
            formation. It is slightly influenced by formation porosity;   mineral in the matrix requires a specific amount of each
            however, the effect is not enough to hinder correct matrix   element based on stoichiometry. Currently, the following
            identification  when  dealing  with  simple  lithologies (one‐  minerals can be quantified by pulsed neutron mineralogy
            mineral matrix). PEF log is little affected by the fluid in the   along with the spectral GR: illite, smectite, kaolinite, chlorite,
            pores. Shales have photoelectric values somewhere between   glauconite, apatite, zeolites, halite, anhydrite, hematite,
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