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CHAPTER 3


            Modeling of Low-Salinity and


            Smart Waterflood




            ABSTRACT                                      incorporating the mechanisms of LSWF and smart
            This chapter discusses the numerical simulations  waterflood in sandstone and/or carbonate reservoirs.
            of low-salinity waterflood (LSWF) incorporating the
            proposed mechanisms for sandstone and carbonate
            reservoirs. Because the geochemical reactions including  GEOCHEMISTRY
            aqueous reaction, mineral reaction, ion exchange, and  Equilibrium Thermodynamics
            surface complexation and electrokinetics in the crude  In a natural system, the complete chemical equilibrium
            oil/brine/rock system are responsible for underlying  is rarely achieved, especially, where biological processes
            mechanisms, they are implemented in the numerical  are involved (Drever, 1997). However, the calculation
            simulations. In addition, a number of approaches  of equilibrium confidently approximates the real
            have been proposed to model the mechanism     equilibrium thermodynamics and indicates the direc-
            mimicking the historical results of experimental works  tion of the chemical reactions of systems. The Gibbs
            and a couple of field trial tests. This chapter discusses  free energy of the system is a useful tool to indicate
            the important features of geochemistry to support the  the status of the chemical reactions. For a system at
            numerical modeling of LSWF process. It also describes  constant pressure and temperature, the Gibbs free
            a variety of numerical studies, which have developed  energy is defined with temperature, pressure, and
            the empirical and mechanistic modeling of LSWF  enthalpy as shown in Eq. (3.1).
            process both in sandstone and carbonate reservoirs.
                                                                      G ¼ U þ pV   TS ¼ H   TS   (3.1)
            In the previous chapter, the various mechanisms of  where G is the Gibbs free energy, U is the internal en-
            low-salinity waterflood (LSWF) and smart waterflood  ergy, p is the pressure, V is volume, H is the enthalpy,
            have been formulated based on the experimental works  T is the temperature, and S is the entropy.
            and field-scaled tests. Because of the different  All chemical reactions spontaneously tend to reach
            mineralogy and surface charge between sandstone and  the equilibrium in a state of minimum Gibbs free
            carbonate  reservoirs,  different  mechanisms  have  energy. A chemical reaction, not at equilibrium, releases
            been proposed in sandstone and carbonate reservoirs.  the energy and moves toward the equilibrium state. The
            Understanding the mechanisms of LSWF and smart  change of Gibbs free energy indicates whether the
            waterflood is essential to the development of numerical  chemical reactions are under spontaneous process or
            modeling of LSWF and smart waterflood. Extensive  already in the equilibrium state. The change in the
            attempts for the numerical modeling include the  Gibbs free energy is defined as in Eq. (3.2). Following
            comprehensive geochemical reactions, electrokinetics,  the definitions of Gibbs free energy change and equilib-
            and empirical and mechanistic modeling of LSWF  rium state, a spontaneous process involves the negative
            mechanism, mainly wettability modification. This  change of Gibbs free energy. When the change of Gibbs
            section presents the geochemistry, which contributes  free energy is zero, the system is at the equilibrium.
            to the proposed mechanisms of LSWF and smart water-
            flood. The detail explanations of geochemistry could be       DG ¼ DH   TDS           (3.2)
            found in the references (Appelo & Postma, 1999;  where DG is the change in the Gibbs free energy, DH is
            Bethke, 1996; Drever, 1997). Following sections  the change in the enthalpy, and DS is the change in
            describe the empirical and mechanistic modeling  the entropy.






            Hybrid Enhanced Oil Recovery using Smart Waterflooding. https://doi.org/10.1016/B978-0-12-816776-2.00003-9
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