Page 141 - Characterization and Properties of Petroleum Fractions - M.R. Riazi
P. 141

T1: IML
                           QC: IML/FFX
              P2: IML/FFX
  P1: IML/FFX
                        AT029-Manual-v7.cls
                                           June 22, 2007
  AT029-03
                                                        14:23
            AT029-Manual
                                                           3. CHARACTERIZATION OF PETROLEUM FRACTIONS 121
            such a parameter is the Watson characterization factor, which
                                                                  eroatoms also increase as shown in Fig. 3.22.
            along with other parameters is introduced and discussed in  aromatic content, amounts of sulfur, nitrogen, and other het-
            this section. However, the first known method to predict the
            PNA composition is the n-d-M method proposed by Van Nes  3.5.1.1 Characterization Parameters for Molecular
            and Van Westen [30] in the 1950s. The n-d-M method is  Type Analysis
            also included in the ASTM manual under ASTM D 3238 test  A characterization parameter that is useful for molecular type
            method. The main limitation of this method is that it can-  prediction purposes should vary significantly from one hy-
            not be applied to light fractions. Later in the 1980s Riazi and  drocarbon type to another. In addition, its range of varia-
            Daubert [36, 47] proposed a series of correlations based on  tion within a single hydrocarbon family should be minimal.
            careful analysis of various characterization parameters. The  With such specifications an ideal parameter for character-
            unique feature of these correlations is that they are appli-  izing molecular type should have a constant value within a
            cable to both light and heavy fractions and identify various  single family but different values in different families. Some
            types of aromatics in the mixture. In addition various meth-  of these characterization parameters (i.e., SG, I, VGC, CH,
            ods are proposed based on different bulk properties of the  and K W ), which are useful for molecular type analysis, have
            mixture that might be available. The Riazi–Daubert methods  been introduced and defined in Section 2.1. As shown in Table
            have been adopted by the API Committee on characteriza-  2.4, specific gravity is a parameter that varies with chemical
            tion of petroleum fractions and are included in the fourth  structure particularly from one hydrocarbon family to an-
            and subsequent editions of the API-TDB [2] since the early  other. Since it also varies within a single family, it is not a
            1980s. The other method that is reported in some literature  perfect characterizing parameter for molecular type analysis
            sources is the Bergamn’s method developed in the 1970s [48].  but it is more suitable than boiling point that varies within a
            This method is based on the Watson K and specific gravity  single family but its variation from one family to another is
            of the fraction as two main characterization parameters. One  not significant. One of the earliest parameters to characterize
            common deficiency for all of these methods is that they do  hydrocarbon molecular type was defined by Hill and Coats in
            not identify n-paraffins and isoparaffins from each other. In  1928 [49], who derived an empirical relation between viscos-
            fact compositional types of PIONA, PONA, and PINA can-  ity and specific gravity in terms of viscosity gravity constant
            not be determined from any of the methods available in the  (VGC), which is defined by Eq. (2.15) in Section 2.1.17. Def-
            literature. These methods provide minimum information on  inition of VGC by Eqs. (2.15) or (2.16) limits its application
            the composition that is predictive of the PNA content. This is  to viscous oils or fractions with kinematic viscosity at 38 C
                                                                                                                  ◦
            mainly due to the complexity of petroleum mixtures and dif-  (100 F) above 38 SUS (∼3.8 cSt.). For quick hand estima-
                                                                     ◦
            ficulty of predicting the composition from measurable bulk  tion of VGC from viscosity and specific gravity, ASTM [4] has
            properties. The method of Riazi–Daubert, however, is capable  provided a nomograph, shown in Fig. 3.23, that gives VGC
            of predicting the monoaromatic (MA) and polyaromatic (PA)  values close to those calculated from Eq. (2.15). Paraffinic
            content of petroleum fractions.                       oils have low VGC, while napthenic oils have high VGC val-
              In general low boiling point fractions have higher paraffinic  ues. Watson K defined by Eq. (2.13) in terms of MeABP and
            and lower aromatic contents while as boiling point of the frac-  SG was originally introduced to identify hydrocarbon type
            tion increases the amount of aromatic content also increases.  [9, 50, 51], but as is shown later, this is not a very suitable
            In the direction of increase in boiling point, in addition to  parameter to indicate composition of petroleum fractions.




























                              FIG. 3.22—Variation of composition of petroleum fractions with boiling point. Reprinted
                            from Ref. [7], p. 469, by courtesy of Marcel Dekker, Inc.














   Copyright ASTM International
             --`,```,`,``````,`,````,```,,-`-`,,`,,`,`,,`---
   Provided by IHS Markit under license with ASTM             Licensee=International Dealers Demo/2222333001, User=Anggiansah, Erick
   No reproduction or networking permitted without license from IHS  Not for Resale, 08/26/2021 21:56:35 MDT
   136   137   138   139   140   141   142   143   144   145   146