Page 123 - Characterization and Properties of Petroleum Fractions - M.R. Riazi
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                        AT029-Manual-v7.cls
                                                        14:23
                                           June 22, 2007
  AT029-03
            AT029-Manual
                                                           3. CHARACTERIZATION OF PETROLEUM FRACTIONS 103
                                                       SG
                      Distillation  T 10  T1: IML TABLE 3.4—Correlation constants for Eq. (3.17).  No. of  AAD
                                             T 50
                      type        range, C  range, C  range      a         b         c     data points  %
                                               a◦
                                      a◦
                      ASTM D 86   35–295    60–365   0.70–1.00  0.08342  0.10731  0.26288    120       2.2
                      TBP         10–295    55–320   0.67–0.97  0.10431  0.12550  0.20862     83       2.6
                      EFV         79–350   105–365   0.74–0.91  0.09138  −0.0153  0.36844     57      57
                      Source: Ref. [22].
                      a Temperatures are approximated to nearest 5.
            used in a reverse form to predict SD from ASTM D 86, but this  calculated ASTM and SG, the EFV temperatures can be es-
            type of conversion is usually not desired as most predictive  timated from Eq. (3.16) with constants given in Table 3.2.
            methods use ASTM D 86 data while laboratories report SD  EFV = 2.9747 (32 + 273) 0.8466  (0.7862) 0.4209  = 340.9 K =
            data. Constants a, b, and c in Eq. (3.18) were obtained from  340.9 − 273 = 67.9 C. The calculated value is very close to the
                                                                                 ◦
            81 different samples and 567 data points and are given in  actual value of 68.3 C (see Table 3.5). Similarly EFV values at
                                                                                 ◦
            Table 3.5 with the range of SD data at each percentage along  other points are calculated and results are shown in Fig. 3.19.
            the distillation curve.                               Predicted EFV curve from TBP are very close to the actual
              Equation (3.18) and the method of Ford published by  EFV curve. The AAD between predicted EFV and experimen-
            ASTM, included in the earlier editions of API-TDB [21], were  tal data is 2.6 K. It should be noted that if experimental ASTM
            evaluated by some 570 data points and gave AAD of 5 and  data and specific gravity were used, the predicted values of
            5.5 C, respectively [22, 26]. Larger errors were observed at  EFV would be even closer to the experimental values.
              ◦
            the initial and final boiling points (0 and 100%) but excluding
            these points the AAD reduces to about 3 C for conversions  3.2.2.2 Daubert’s Method
                                              ◦
            within the range of 10–90% distilled.                 Daubert and his group developed a different set of equations
              The procedures given in this section should be used with the  to convert ASTM to TBP, SD to ASTM, and SD to TBP [23].
            range of data specified in Tables 3.1–3.4. Use of these equa-  These methods have been included in the sixth edition of API-
            tions outside the specified ranges could cause large errors.  TDB [2] and are given in this section. In these methods, first
            Graphical forms of these equations for conversion of various  conversion should be made at 50% point and then the differ-
            distillation curves are given in Reference [22] as well as in the  ence between two cut points are correlated in a form similar
            fourth edition of the API-TDB-88 [2]. One of the advantages of  to Eq. (3.14). In this method SD data can be converted di-
            these equations is that they can be used in reversed form. This  rectly to TBP without calculating ASTM as was needed in the
            means one may estimate EFV from TBP data through conver-  Riazi–Daubert method.
            sion of TBP to ASTM by Eq. (3.15) and then using Eq. (3.16)
            to estimate EFV from calculated ASTM curve. The example  3.2.2.2.1 ASTM and TBP Conversion—The following
            below shows this conversion process.                  equation is used to convert an ASTM D 86 distillation at 50%
                                                                  point temperature to a TBP distillation 50% point tempera-
            Example 3.2—For a blend of naphtha–kerosene sample,   ture.
            ASTM, TBP, and EFV distillation curves are given in the API-                                        1.0258
            TDB [2]. These data are represented in Table 3.6. Use the  TBP(50%) = 255.4 + 0.8851[ASTM D 86(50%) − 255.4]
            Riazi–Daubert methods to predict EFV curve from TBP curve.  (3.20)
                                                                  where ASTM (50%) and TBP (50%) are temperatures at 50%
            Solution—TBP data are used as available input data. Equa-  volume distilled in kelvin. Equation (3.20) can also be used
            tion (3.15) should be used to estimate ASTM D 86 from TBP.  in a reverse form to estimate ASTM from TBP. The following
            For the initial point at 0%, the calculations are as follows.  equation is used to determine the difference between two cut
            ASTM D 86 = (1/0.9177) 1/1.0019  (10 + 273) 1/1.0019  = 305 K =  points:
            305 − 273 = 32 C. The actual data for the initial ASTM tem-
                        ◦
            perature is 35 C, which is close to the calculated value.  (3.21)          Y i = AX i B
                        ◦
            Now to estimate EFV from Eq. (3.16), specific gravity, is re-  where
            quired which is not given by the problem. SG can be esti-  Y i = difference in TBP temperature between two cut
            mated from Eq. (3.17) and constants given in Table 3.3 for
                                                                         points, K (or C)
                                                                                    ◦
            the TBP. From Table 3.6, T 10 (TBP) = 71.1 and T 50 (TBP) =  X i = observed difference in ASTM D 86 temperature be-
            204.4 C. Using these values in Eq. (3.17) gives SG = 0.10431                        ◦
                ◦
            (71.1 + 273) 0.1255  (204.4 + 273) 0.20862  = 0.7862. Now from  tween two cut points, K (or C)
                                                                    A, B = constants varying for each cut point and are given
                                                                         in Table 3.7
                   TABLE 3.5—Correlation constants for Eq. (3.18).
                                                    SD
                  Vol%     a       b       c      range, C               TABLE 3.6—Data on various distillation curves
                                                      a◦
                                                                               for a naphtha–kerosene blend [2].
                    0    5.1764  0.7445  0.2879   −20–200                Vol%      ASTM D 86,   TBP,     EFV,
                   10    3.7452  0.7944  0.2671    25–230                distilled    ◦ C        ◦ C      ◦ C
                   30    4.2749  0.7719  0.3450    35–255
                   50    1.8445  0.5425  0.7132    55–285                 0           35.0       10.0     68.3
                   70    1.0751  0.9867  0.0486    65–305                10           79.4       71.1    107.2
                   90    1.0849  0.9834  0.0354    80–345                30          145.6      143.3    151.1
                  100    1.7991  0.9007  0.0625    95–405                50          201.7      204.4    182.2
                  Source: Ref. [22].                                     70          235.6      250.6    207.2
                  a Temperatures are approximated to nearest 5.          90          270.6      291.7    228.3





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