Page 268 - Geology and Geochemistry of Oil and Gas
P. 268

232                      MATHEMATICAL MODELING IN PETROLEUM GEOLOGY

           TABLE 11.5

           Correlation equations among parameters of reservoir-rock properties in Azerbaijan
           Eq. No.       Equation                  Eq. No.       Equation
                                                                          p
           1             f ¼ a 3 2b 3 C carb þ c 3 C  2 carb  9  A da ¼ a 9 þ b 9 C cl
           2             lg k ¼ a 4 2b 4 C carb    10            Q 100 ¼ a 14 2b 14 Z cl þ c 14 Z 2 cl
           3             f ¼ a 1 2b 1 lg C cl      11            A da ¼ 2a 15 þ b 15 Z cl
           4             lg k ¼ a 2 2b 2 C cl      12            lg Q 100 ¼ a 10 2b 10 f
           5             f ¼ a 6 2b 6 Z cl         13            A da ¼ a 11 2b 11 f
           6             lg k ¼ a 7 2b 7 Z cl      14            Q 100 ¼ a 12 2b 12 lg k
           7             lg k ¼ a 5 þ b 5 f        15            A da ¼ a 13 2b 13 lg k
                                                                            p
           8             Q 100 ¼ a 8 þ b 8 C cl    16            A da ¼ 2a 16 þ b 16 Q 100
           See Table 11.4 for definitions of variables.




           analyses. The correlation analysis shows the presence, strength, and sign of the
           relationship among the correlated parameters, whereas the regression analysis
           enables one to establish the type of relationship or to develop models. For example,
           correlation matrices for different crude oils from offshore oilfields of the Absher-
           on Archipelago in the South Caspian Basin were obtained from correlation
           analysis. Several types of correlation matrices with different number of analyses and,
           therefore, with different reliable values of the correlation coefficient, were deter-
           mined. Table 11.6 is a generalized matrix of correlation coefficients for the oil
           and gas fields of the Absheron Archipelago. Instead of numerical values of corre-
           lation coefficients in this table, only the signs of coefficients with reliable values are
           presented.
             Owing to different relationships, estimation of a certain number of parameters of a
           given crude oil may be sufficient to make a conclusion about values of other pa-
           rameters. The simplest and at the same time one of the main properties of crude oil is
           its density, which is closely dependent on the fractional composition and the content
           of asphaltenes and resins in the crude oil. Relationships among the major crude oil
           parameters is of great interest from the point of view of petroleum geochemistry, and
           equations derived by regression analysis can serve as mathematical models of the
           crude oils.
             The influence of these components of crude oil on density can be studied by means
                                                                3
           of correlation for four parameters: (1) g ¼ oil density (in g/cm ), (2) R ¼ content of
           resins plus asphaltenes (in wt%), (3) B ¼ content of gasoline (in wt%), and (4)
           L ¼ content of ligroin in (wt%). Based on 820 analyses, the correlation between the
           oil density and content of resins plus asphaltenes was tabulated (Table 11.7) as an
           example. Empirical equation of relationship (see Fig. 11.14) between the density and
           content of resins plus asphaltenes in the crude oil in the form of regression R on g is
           as follows:
               g ¼ 0:826 þ 0:00237R                                         (11.35)
   263   264   265   266   267   268   269   270   271   272   273