Sentence examples for modelled equations and from inspiring English sources

Table 1 Reservoir properties Reservoir properties Value a 1 m 1.86 n 2.2 R w 0.06771 R sh 2 Φ tsh 0.077 Open image in new window Fig. 1 Water saturation trend with varying values of volume of shale in the reservoir Open image in new window Fig. 2 Trend comparison between modelled equations and the core water saturation.

The modelled equation was compared in two scenarios using well log data and core data from two different reservoirs, and the model showed consistency in predicting the average water saturation in both reservoirs.

The results of the comparison were positive for the modelled equation, as it gave coherent results in both comparison scenarios and matched reasonably the average water saturation of the selected reservoirs.

The modelled equation was consistent in the all the cases of comparison.

It was observed that the average water saturation values from the modelled equation were very close to already established equations.

The average water saturation of the modelled equation was close to the average water saturation from the cored data.

Accounting for the bound water saturation, the bound water resistivity, and the assumption that the clay-bound electrons and the sandstone electrons do not flow through the same conductive path is the one of the main reasons why the modelled equation was able to effectively mirror the average reservoir water saturation.

The modelled equation is represented in terms of resistivity mathematically as: frac{1}{{R_{text{t}} }} = frac{1}{{R_{text{ss}} }} + frac{1}{{R_{text{sh}} }} (10 where Rt is true resistivity; Rss, sandstone resistivity contribution; Rsh, shale resistivity contribution frac{1}{{R_{text{ss}} }} = frac{{S_{text{w}}^{n} }}{{F*R_{text{w}} }} (11).

The surface water and groundwater flows are both modelled based on the unified equations and the water exchange and interaction between the two types of flows can be taken into account.

These were modelled in separate logistic regression equations and combined to give an overall measure of effect.

Dynamic analysis is carried out considering random sea state through spectral analysis on time domain, wave forces are modelled trough Morison equation and through FNV theory to take into account wave diffraction effect.