Prediction of the Dryness Fraction of Gas, Pressure, and Temperature in High Temperature–High Pressure Injection Wells

Abstract

The authors give a coupled system model of differential equations concerning dryness fraction of gas, pressure, and temperature in high temperature–high pressure steam injection wells according to mass, momentum, and energy balances. They present an algorithm solution model, along with the fourth-order Runge-Kutta method. The basic data from a high temperature–high pressure gas wells (7,100 m deep) in China were used for a case history calculation and a sensitivity analysis was also carried out. The gas flow law and the characteristic of heat transfer in formation were intuitively reflected in the algorithm and simulation. The results provide some technical insight in the process of designing well testing in high temperature–high pressure gas wells and the dynamic analysis of injection.