The analysis and modelling of measuring data acquired by using combination production logging tool in horizontal simulation well

Due to the complicated distributions of local velocity and local phase holdup along the radial direction of pipe in horizontal oil-water two phase flow, the total flow rate and phase volume fraction is difficult to be measured. In this study, we carried out dynamic experiment in horizontal oil-water two-phase flow simulation well by using combination production logging tool including turbine flowmeter with petal type concentrating diverter, conductance sensor and flow-passing capacitance sensor. We also investigated the effect of flow characteristic and pipe inclination angle on the response of turbine flowmeter and water-cut meter. According to the resolution capability of the conductance and capacitance sensor in different range of total flow rate and water-cut, we respectively used variable coefficient drift flux model and statistical model to predict the partial phase flow rate. The results show that the variable coefficient drift flux model can self-adaptively adjust the flow pattern parameters and has high prediction accuracy of partial phase flow rate of oil-water two-phase flow.