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4. CHARACTERIZATION OF RESERVOIR FLUIDS AND CRUDE OILS 185
application of Gaussian quadrature technique as discussed
and weights for 3 and 5 points [38].
by Stroud and Secrest [44]. The second method is based on TABLE 4.21—Gaussian quadrature points --`,```,`,``````,`,````,```,,-`-`,,`,,`,`,,`---
carbon number range approach in which for each pseudo- i Root y i Weight w i
component the lower and higher carbon numbers are speci- N p = 3 −1
fied. 1 0.41577 7.11093 × 10
2 2.29428 2.78518 × 10 −1
4.6.1.1 The Gaussian Quadrature Approach 3 6.28995 1.03893 × 10 −2
N p = 5
The Gaussian quadrature approach is used to provide a dis- 1 0.26356 5.21756 × 10 −1
crete representation of continuous functions using different 2 1.41340 3.98667 × 10 −1
numbers of quadrature points and has been applied to define 3 3.59643 7.59424 × 10 −2
pseudocomponents in a petroleum mixture [23, 24, 28]. The 4 7.08581 3.61176 × 10 −3
number of pseudocomponents is the same as the number of 5 12.64080 2.33700 × 10 −5
quadrature points. Integration of a continuous function such
as F(P) can be approximated by a numerical integration as
in the following form [44]:
gives a set of values for roots y i and weights w i as given in
∞ Ref. [38].
N p
(4.96) f (y) exp(−y)dy = w i f (y i ) = 1 Similarly it can be shown that for the gamma distribution
i=1 model, Eq. (4.31), f (y) in Eq. (4.96) becomes
0
where N P is the number of quadrature points, w i are weighting (4.104) y α−1
factors, y i are the quadrature points, and f (y) is a continuous f (y) = (α)
function. Sets of values of y i and w i are given in various mathe- and mole fraction of each pseudocomponent, z i , is calculated
matical handbooks [38]. Equation (4.96) can be applied to a as
probability density function such as Eq. (4.66) used to express α−1
molar distribution of a hydrocarbon plus fraction. The left (4.105) z i = w i f (y i ) = w i y i
side of Eq. (4.96) should be set equal to Eq. (4.67). In this (α)
application we should find f (y) in a way that Molecular weight M i for each pseudocomponent is calculated
from
∞ ∞
(4.97) F(P )dP = f (y) exp(−y)dy = 1 (4.106) M i = y i β + η
∗
∗
0 0
where α, β, and η are parameters defined in Eq. (4.31). It
where F(P ) is given by Eq. (4.66). Assuming should be noted that values of z i in Eq. (4.102) or (4.105)
∗
B is based on normalized composition for the C 7+ fraction
(4.98) y = P ∗B
A (i.e., z 7+ = 1) at which the sum of z i for all the defined pseudo-
components is equal to unity. For both cases in Eqs. (4.102)
and differentiating both sides
and (4.106) we have
B 2
(4.99) dy = P ∗B−1 dP ∗
N P
A (4.107) z i = 1
Using Eq. (4.66) we have i=1
To find mole fraction of pseudocomponent i in the original
2
B B
∗ ∗ ∗B−1 ∗B ∗
F(P )dP = P exp − P dP reservoir fluid these mole fractions should be multiplied by
A A
the mole fraction of C 7+ . Application of this method is demon-
(4.100) = 1 × exp(−y)dy strated in Example 4.14.
By comparing Eqs. (4.97) and (4.100) one can see that
Example 4.14—For the gas condensate system described in
(4.101) f (y) = 1
Example 4.13 assume the information available on the C 7+
and from Eq. (4.96) we get are M 7+ = 118.9 and SG 7+ = 0.7597. Based on these data, find
three pseudocomponents by applying the Gaussian quadra-
(4.102) z i = w i ture method to PDF expressed by Eq. (4.66). Find the mixture
M 7+ based on the defined pseudocomponents and compare
where z i is the mole fraction of pseudocomponent i. Equa-
tion (4.102) indicates that mole fraction of component i is with the experimental value. Also determine three pseudo-
the same as the value of quadrature point w i . Substituting components by application of Gaussian quadrature method
definition of P as (P − P o )/P o in Eq. (4.98) gives the follow- to the gamma distribution model.
∗
ing relation for property P i :
Solution—For Eq. (4.56), the coefficients found for M in Ex-
A 1/B
1/B ample 4.13 may be used. As given in Table 4.20 we have
(4.103) P i = P ◦ 1 + y i M o = 90, A M = 0.3324, and B M = 1.096. Values of quadra-
B
ture points and weights for three components are given in
Coefficients P o , A and B for a specific property are known Table 4.21. For each root, y i , corresponding value of M i is de-
from the methods discussed in Section 4.5.4.6. Table 4.21 termined from Eq. (4.103). Mole fractions are equal to the
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