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One of the saturation from resistivity models:
(1) |
\frac{1}{R_t} = \phi_t^m s_{wt}^n \, \Big[ \frac{1}{R_w} +\frac{B Q_V}{s_{wt}}
\Big] |
and saturation is given by
(2) |
s_w = \frac{s_{wt} - s_{wb}}{ 1 - s_{wb}} |
(3) |
s_{wb}= \frac{V_{wb}}{V_t} |
(4) |
B Q_V = s_{wb} \left( \frac{1}{R_{wb}} - \frac{1}{R_w} \right) |
where
| formation water saturation |
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| effective porosity |
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| shaliness |
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| specific electrical resistivity from OH logs |
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| specific electrical resistivity of formation water |
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| specific electrical resistivity of wet shales |
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| dimensionless constant, characterizing the rock matrix contribution to the total electrical resistivity | 0.5 ÷ 1, default value is 1 for sandstones and 0.9 for limestones |
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| formation matrix cementation exponent | 1.5 ÷ 2.5, default value is 2 |
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| formation matrix water-saturation exponent | 1.5 ÷ 2.5, default value is 2 |
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In some practical cases, the laboratory data is available on
B and
Q_V separately, but the other model parameters still need calibration on core data.