The plot of water production rate(along y-axis) against the oil production rate (along x-axis).
It can be used for express Watercut Diagnostics of thief water production.
The mathematical model of the thief water production from aquifer is based on the following equation qOW plotis based on the following correlation between oil production rate and water production rate:
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| q_W = a \, \cdot q_O + b |
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| a = J^{-1}_ |
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{1O} \cdot ( J_{1W} + J_{2W}) |
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| b = J_{2W} \cdot (p^*_2 - p^*_1) |
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where
oil pay oil pay oil pay water reservoir in aquifer | LaTeX Math Inline |
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body | --uriencoded--J_%7B2W%7D |
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| water productivity index of |
oil pay reservoir
For the case of aquifer pressure is higher than that of petroleum reservoir:
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body | --uriencoded--b > 0 \Leftrightarrow p%5e*_2 > p%5e*_1 |
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For the case of aquifer pressure is lower than that of petroleum reservoir:
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body | --uriencoded--b < 0 \Leftrightarrow p%5e*_2 < p%5e*_1 |
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In practical applications, the equation
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is often considered through the
averaged value weighted average values:
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<q_W>\langle q_W \rangle = a \, \cdot \langle <q_O> q_O \rangle + \, b |
where
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body | <q_W>, \ <q_O>\langle q_W \rangle, \ \langle q_O \rangle |
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| are weighted average of and |
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There are different ways to calculated calculate weighted average of of the dynamic variable, for example:
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| <\langle A >\rangle_t \ = \frac{1}{t} \int_o^t A(t) \, dt |
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| <A>\langle A \rangle_q \ = \frac{1}{Q(t)} \int_o^t A(t) \, q(t) \, dt |
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See Also
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Petroleum Industry / Upstream / Production / Subsurface Production / Field Study & Modelling / Production Analysis / Watercut Diagnostics
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