Using Downhole Real-Time Data To Estimate Zonal Production in a Commingled-Multiple-Zones Intelligent System

摘要

Intelligent well technology provides the ability to monitor wellbore data (e.g. down-hole pressure/temperature) in real timethrough down-hole sensors, and to control fluid flow into orout of the wellbore at each segment. However, integratingthese real-time data into a reservoir management work flowand turning the data into measurable and tangible value is stillan elusive and complex task.This paper proposes a technique of integrating down-hole realtimepressure and temperature data to predict and allocatemultiphase production in a multiple zone intelligent wellsystem. The technique combines the known position of theinstalled zonal Interval Control Valves (ICV), measured realtimepressure and temperature data, available production data,and reservoir fluid properties, to estimate the production rateof each zone using customized ICV choke performancemodels.In order to account for the impact of phase behavior on theprediction, fluid systems have to be corrected to the prevailingin-situ flow conditions. In light of this, an improvedmultiphase choke model for down-hole ICV is introduced inthis study.To demonstrate this technique, one example of a hypotheticaltwo-zone intelligent well completion with multi-phaseproduction is illustrated. The example shows how to use thesurface production data, e.g., GOR, WOR, API, Gas S.G., andreal-time gauge data with the multiphase choke model topredict production of each phase through the ICV.