Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells

In wells with multiple pay zones, portion of each layer in total flow rate is a long standing challenge. Aim of this paper is to find one of temperature log avail namely inflow rate estimation. However current methods can give the inflow rate only for single phase flow. In this paper a novel temperature distribution model is developed in wells with multiple pay zones.It accounts for all the real conditions such as non-homogeneous multiphase flow and phase changes which have been ignored by previous authors. A temperature model in reservoir accounting for oil degassing, convection and conduction heat transfer is coupled with wellbore model. Then the model was used as a tool to find inflow rate from each pay zone. We found produced water and gas from reservoir is cooler than produced oil while water coning cause warming effect. Also, it has been shown that how ignoring oil degassing in reservoir cause overestimation of sandface temperature. The predicted inflow rate from temperature model was compared with spinner flowmeter results. The error was between 10-15 percent which is reasonable. This work is helpful to identify zones producing excessive water or gas entries and realize necessity of reservoir stimulation.