The qOW plotis based on the following correlation between oil production rate and water production rate:
q_W = a \, \cdot q_O + b |
where
a = J^{-1}_O \cdot ( J_{1W} + J_{2W}) |
b = J_{2W} \cdot (p^*_2 - p^*_1) |
where
water production rate | oil production rate | ||||
formation pressure in oil pay reservoir | water productivity index of oil pay reservoir | oil productivity index of oil pay reservoir | |||
formation pressure water reservoir | water productivity index of oil pay reservoir |
In practical applications, the equation is often considered through the averaged value:
<q_W> = a \, \cdot <q_O> + \, b |
where
are weighted average of and |
There are different ways to calculate weighted average of the dynamic variable, for example:
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Petroleum Industry / Upstream / Production / Subsurface Production / Field Study & Modelling / Production Analysis / Watercut Diagnostics