Page 126 - Characterization and Properties of Petroleum Fractions - M.R. Riazi
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            AT029-Manual
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                                           June 22, 2007
                                                        14:23
  AT029-03
         106 CHARACTERIZATION AND PROPERTIES OF PETROLEUM FRACTIONS
                               TABLE 3.10—Prediction of TBP from SD for a petroleum fraction of Example 3.4.
                                                            Eqs. (3.18) and (3.14)  Eq. (3.23)–(3.25)
                        Wt% or vol%  ASTM D 2887  TBP
                        distilled    (SD) exp, C  exp, C  TBP calc, C  AD, C     TBP calc, C  AD, C
                                                                         ◦
                                                                                       ◦
                                                                                               ◦
                                           ◦
                                                   ◦
                                                               ◦
                        10            151.7      161.1    146.1        15.0       164.3       3.2
                        30            162.2      163.3    157.1         6.2       166.9       3.5
                        50            168.9      166.7    167.7         1.0       168.9       2.2
                        70            173.3      169.4    170.7         1.3       170.9       1.5
                        90            181.7      173.9    179.1         5.3       176.7       2.8
                        Overall AAD, C                                  4.8                   2.2
                                 ◦
         D 86 curve from SD data using Riazi–Daubert and Daubert’s  earlier in this chapter under ASTM D 1160 test method. For
         methods and calculate AAD for each method.           prediction of physical and thermodynamic properties normal
                                                              boiling points are required. For this reason methods of cal-
         Solution—Both methods provide direct methods for conver-  culation of equivalent atmospheric boiling point (EABP) are
         sion of SD to ASTM D 86 and calculations are similar to those  important. One has to recognize that EABP is not a real boil-
         presented in Examples 3.3. and 3.4. Equations (3.26)–(3.28)  ing point as for such heavy fractions there is no actual and real
         are used for Daubert’s method, while Eqs. (3.18) and (3.19)  experimental value for the normal boiling point. This param-
         are used for Riazi–Daubert method. A summary of complete  eter can be obtained from conversion of distillation curves at
         calculation results is given in Table 3.12. The overall AAD for  low pressures to equivalent distillation curves at atmospheric
         Eq. (3.18) is 1.5, while for Eqs. (3.26)–(3.28) is 2.0 C.     pressures and it is just an apparent normal boiling point. The
                                                  ◦
                                                              basis of such conversion is vapor pressure correlation for the
          Results presented in Example 3.5 show that Eq. (3.18) is  fraction of interest, which will be discussed in Chapter 6. In
         slightly more accurate than Eqs. (3.26)–(3.28) for the conver-  this part we present calculation methods for the conversion
         sion of SD to ASTM D 86. This is consistent with AAD reported  of ASTM D 1160 to atmospheric distillation curve and for the
         for these methods. However, Eqs. (3.26)–(3.28) are based on  prediction of atmospheric TBP curves from ASTM D 1160.
         a larger data set than is Eq. (3.18). In general, Riazi–Daubert  It should be noted that ASTM D 1160 does not refer to any
         methods are simpler and easily reversible, while the existing  specific pressure. The pressure may vary from 1 to 50 mm Hg.
         API methods are slightly more complex. The advantage of  When D 1160 curve is converted to a distillation curve at at-
         Daubert’s methods is that the predicted curve is smooth and  mospheric pressure through a vapor pressure correlation the
         uniform, while in the Riazi–Daubert methods every point is  resulting distillation curve is not equivalent to ASTM D 86 or
         predicted independent of adjacent point and lack of smooth-  to TBP curve. The resulting distillation curve is referred to
         ness in predicted curve is possible, although this is rarely ob-  as equivalent atmospheric ASTM D 1160. Another low pres-
         served in our experience. Since in the Daubert’s methods tem-  sure distillation data is TBP distillation curve at 1, 10, or
         peratures at 0 and 10% points are calculated from predicted  50 mm Hg. Through vapor pressure correlations TBP at re-
         values at 30 and 50% points, larger errors are observed at the  duced pressures can be converted to atmospheric TBP. There
         lower (0, 5, and 10% distilled) or upper ends (90, 95, and 100%  is a procedure for the conversion of ASTM D 1160 to TBP
         distilled) of predicted distillation curves. In general the accu-  at 10 mm Hg which is presented in this section. Therefore,
         racy of both methods in the prediction of distillation curves  to convert ASTM D 1160 to TBP at atmospheric pressure
         at 0 and 100% points are limited. This is mainly due to the  one has to convert D 1160 at any pressure to D 1160 at 10
         experimental uncertainty in measurement of temperatures at  mm Hg and then to convert resulting D 1160 to TBP at 10
         the end points.                                      mm Hg. This means if ASTM D 1160 at 1 mm Hg is avail-
                                                              able, it must be first converted to D 1160 at 760 mm Hg,
         3.2.2.3 Interconverion of Distillation Curves        then to D 1160 at 10 mm Hg followed by conversion to TBP
         at Reduced Pressures                                 at 10 mm Hg and finally to TBP at 760 mm Hg. A summary
                                                              chart for various conversions is presented at the end of this
         Normal boiling points of heavy petroleum fractions such as
         products of a vacuum distillation column cannot be measured  section.
         due to the thermal decomposition of heavy hydrocarbons at
         high temperatures. For this reason distillation data are re-  3.2.2.3.1 Conversion of a Boiling Point at Sub- or Super-
         ported at reduced pressures of 1–50 mm Hg, as described  Atmospheric Pressures to the Normal Boiling Point or
                                                              Vice Versa—The conversion of boiling point or saturation
                                                              temperature at subatmospheric (P < 760 mm Hg) or super-
                                                              atmospheric (P > 760 mm Hg) conditions to normal boiling
               TABLE 3.11—Correlation constants for Eq. (3.27).
                Cut point                 Maximum allowable   point is based on a vapor pressure correlation. The method
            i   range, %    E       F          T i , C        widely used in the industry is the correlation developed for
                                                 ◦
            1    100–90  2.13092  0.6596        55            petroleum fractions by Maxwell and Bonnell [27], which is
            2    90–70   0.35326  1.2341        55            also used by the API-TDB [2] and other sources [24] and is
            3    70–50   0.19121  1.4287        55            presented here. This correlation is given for several pressure
            4    50–30   0.10949  1.5386        55
            5    30–10   0.08227  1.5176        85            ranges as follows:
            6    10–0    0.32810  1.1259        85                                    748.1QT
            Source: Taken with permission from Ref. [2].      (3.29)     T =

            a Temperatures are approximated to nearest 5.                 b  1 + T(0.3861Q − 0.00051606)









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