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For instance the ratings collected from Waves 1 and 2 are correlated at only r =.300 (a correlation ranges from -1.0 to +1.00), suggesting that a meager9%% of the differences in second wave ratings of the same individual can be predicted on the basis of ratings made a year before [1].
Moreover, changes in correlation ranges also may affect production values.
Also, in lower correlation ranges, there are more scattered data than those observed at higher correlation ranges.
In particular, different correlation ranges (R) were used to observe the effect of heterogeneity.
For all potential combinations, the correlation ranges between 0.70 and 0.99 (see Table 9).
(Error for using single correlation ranges from more than 21 to 29%.) 3.
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The yearly means, however, show a good correlation ranging from 0.6 to 0.8.
Figure 5 illustrates that while the correlation range increases, hydrocarbon production will increase as well.
Increasing the correlation range may cause an increase in the production of the reservoir.
Open image in new window Fig. 5 Final production of reservoir versus correlation range.
For the selected values of, the subcarrier correlation range from (27) amounts to and, respectively.
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