Abstract
Intelligent well technology provides the ability to monitor well bore data (e.g. down-hole pressure/temperature) in real time through down-hole sensors, and to control fluid flow into or out of the wellbore at each segment. However, integrating these real-time data into a reservoir management work flow and turning the data into measurable and tangible value is still an elusive and complex task.
This paper proposes a technique of integrating down-hole realtime pressure and temperature data to predict and allocate multiphase production in a multiple zone intelligent well system. The technique combines the known position of the installed zonal Interval Control Valves (ICV), measured realtime pressure and temperature data, available production data, and reservoir fluid properties, to estimate the production rate of each zone using customized ICV choke performance models.
In order to account for the impact of phase behavior on the prediction, fluid systems have to be corrected to the prevailing in-situ flow conditions. In light of this, an improved multiphase choke model for down-hole ICV is introduced in this study.
To demonstrate this technique, one example of a hypothetical two-zone intelligent well completion with multi-phase production is illustrated. The example shows how to use the surface production data, e.g., GOR, WOR, API, Gas S.G., and real-time gauge data with the multiphase choke model to predict production of each phase through the ICV.
