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We also include a simple ionosphere model with average mass M = 28 amu ions that were generated inside the ionosphere.
The displacement is conducted in a homogeneous reservoir model with average permeability, porosity and oil saturation being 2,000 mD, 0.3 and 0.7, respectively.
The results demonstrate the predictive power of the proposed model with average F-scores of 89.8% for the week prediction model and of 86.7% for the bi-week prediction model.
Deeper, at −3500 m asl (Fig. 6d), temperatures between 20 and 160 °C are predicted by the model, with average temperatures of ~90 °C apart from the thermal anomalies.
Finally, the alcohol and methyl ester product distributions from the literature proved to be reasonably described by this new model with average relative deviations of 22.9% and 14.1%, respectively.
Optimizing hydraulic fractures' parameters can be processed by employing homogeneous model with average permeability, but design more and longer hydraulic fractures in high permeability zone will have significant effect on productivity in early stage, and hydraulic fractures with even space and length would be better for long time production.
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When we study the set with 76 proteins, we find that the best model is an SVRM model with averaged ({text{R}}_{text{test}}^{2}) = 0.728, whereas the best individual split value is ({text{R}}_{text{test}}^{2}) = 0.89.
The model with averaged level of activity among sides showed no significant interaction between the main factors.
Statistical error analysis shows that the developed LSSVM model outperforms all existing predictive models with average absolute relative error of 0.19% and correlation coefficient of 0.999.
The predicted and measured responses demonstrate the accuracy of both models with average deviations of only 4.67% and 1.53% for penetration and softening point, respectively.
The experimental thermal conductivity data were correlated with the Wassiljewa mixing rules as modified by Mason and Saxena, and predicted using two new empirical models, with average deviations under 0.4% and 0.6%, respectively.
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