TEMPERATURE PREDICTION MODEL FOR FLOWING DISTRIBUTION IN WELLBORES AND PIPELINES

📄 Project Abstract

Down-hole temperature and pressure data are important information needed to understand flowing conditions and production optimization. For example, knowing the wellbore temperature profile is useful in predicting the wax formation in the tubing, which is important in flow assurance. While gas production usually causes a temperature decrease due to Joule Thomson effect, water entry results in warming of the wellbore. Warmer water entry is as a result of inflow from a warmer aquifer zone due to water coning. Water entry by water coning can therefore easily be detected from temperature profile since it increases the wellbore temperature. In this study, we successfully developed a temperature prediction model which calculates temperature profiles for flowing temperature in the wellbore and considers Joule Thomson coefficient as a function of mass flow rate of the fluid phases (oil, water, and gas). We modified Alves et al temperature equation and the modified temperature equation was used ...