Page 59 - Hybrid Enhanced Oil Recovery Using Smart Waterflooding
P. 59

CHAPTER 3 Modeling of Low-Salinity and Smart Waterflood  51

          Gibbs free energy decreases, as the salinity of injecting
          brine decreases. Maintaining the constant water relative       HA w 4HA o           (3.69)
          permeability curve, the residual oil saturation, oil               ½HA w Š
                                                                         K D ¼                (3.70)
          endpoint, and oil Corey’s exponent are historically                ½HA o Š
          adjusted to reproduce the oil recovery and pressure

                                                                       HA w 4A þ H þ          (3.71)
          drop of the coreflooding experiments.                               w

                                                                             þ
                                                                            ½H Š A
                              N aq                                              w
                              X                                         K a ¼                 (3.72)
                           G ¼   x i m i        (3.66)                       HA w
                              i¼1
                                                        where HA w and HA o are the acidic component in the
                      S or ¼ F IF S LS  þð1   F IF ÞS HS  (3.67)  aqueous and oleic phases, A w and A o are the partitioned
                             or
                                       or
                                  HS                    carboxylic organic components in aqueous and oleic
                              G   G
                         F IF ¼  LS  HS         (3.68)  phases, respectively, K D is the partition coefficient,
                             G    G
                                                        and K a is the dissociation constant of HA w in aqueous
          where G is the effective molar Gibbs free energy of  phase.
          solution, N aq is the number of aqueous species i,  In addition to the modeling of comprehensive
               HS      LS
          and G   and G  are the effective molar Gibbs free  reactions, the numerical simulation study using the
          energy of solution at high and low salinity threshold  IPreeqc-UTCOMP modeled the LSWF process following
          conditions.                                   wettability modification mechanism. The wettability
            The UTCOMP is another in-house simulator of the  modification is assumed to be controlled by a total
          University of Texas at Austin and it is the EOS and  ionic strength. The hypothetic simulations investigate
          compositional simulator to model the miscible and  the effects of the two additional reactions involving
          immiscible gas injection EOR processes. Kazemi Nia  water-soluble hydrocarbon components and acidic/
          Korrani,  Jerauld,  and  Sepehrnoori  (2016)  also  basic components of the hydrocarbon phase on the
          advanced the UTCOMP coupled with the IPhreeqc  performance of LSWF process. The numerical simula-
          module. In the coupling of UTCOMP and IPhreeqc,  tions with and without the reactions clearly show the
          two additional reactions involving water-soluble hydro-  difference in the oil recovery (Fig. 3.6). Because the
          carbon components and acidic/basic components of  dissolution of CO 2 in aqueous phase potentially
          the hydrocarbon phase are implemented. Firstly, there  changes the total ionic strength, the simulations with
          are soluble hydrocarbon component and CO 2 in water.  and without the reactions have different degree
          Especially, the dissolution of CO 2 in water influences  of wettability modification and produce unequal oil
                                                        recovery. Consequently, the study validated the numer-
          the aqueous and mineral reactions. The dissolved CO 2
          in water controls the pH owing to aqueous reactions,  ical model of LSWF process through the simulations of
          and the pH of brine affects the mineral reactions.  the two coreflooding experiments (Kozaki, 2012).
          The previous study of Nghiem et al. (2004) already  Using the reported parameters from Kozaki (2012),
          implemented these reactions in the GEM software  the coreflooding simulation of LSWF carries out the
          incorporating the equilibrium of fugacities between  history matching process tuning unknown parameters.
          aqueous and gaseous phases. Kazemi Nia Korrani  The history-matched model accurately reproduces the
          et al. (2016) also modeled the reactions of the water-  oil recovery as well as the effluent ion concentrations.
          soluble hydrocarbon component and CO 2 as well as  The study also suggested the other approach to model
          the relevant geochemical reactions. Secondly, the  wettability modification of LSWF process. The exchange
          acidic/basic components in hydrocarbon phase can be  reaction of organometallic complex (carboxylic organic
          distributed between the aqueous and oleic phases  component-divalent cation) by pure cations on the
          (Havre, Sjöblom, & Vindstad, 2003). Following the  rock, potentially, changes the wettability of rock from
          equilibrium relationship of Eq. (3.69), the distribution  oil-wet to water-wet (Fig. 3.7). Simplifying the reaction,
          of partitioned acids in each phase is determined by  the detachment of organometallic complex from the
          partition coefficient of Eq. (3.70). The partitioned acid  rock surface can be used as the interpolation factor for
          in the aqueous phase dissociates in the aqueous phase  wettability modification modeling. The study briefly
          as shown in Eqs. (3.71) and (3.72). The dissociation  explained this approach and performed the hypotheti-
          of the partitioned acid is also affected by the pH  cal LSWF simulations with the approach of wettability
          of brine.                                     modification modeling.
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