Oil-water flowrate measurement with sensing data and equidistant area-weighted average method

To optimize production strategy, monitor reservoir performance, and maximize economic recovery of oil and gas fields, it is very important to accurately measure the separate phase flow of each fluid in multiphase flow. Due to the complexity of multiphase flow, the traditional method of measuring the flow per phase is challenging. The Spinner Array Tool (SAT) and equidistant area-weighted average method are used to predict the average fluid velocity of oil-water two-phase flow in horizontal wells. The slippage model is used to calculate the total volume flow of the fluid and the volume flow of each fluid. We collected mini-spinner sensing data in a Spinner Array Tool (SAT) for the oil-water two-phase and used the response characteristics of the single-phase fluid as reference data before mixing. The experimental results show that the isometric area-weighted average method can better process the sensor data of the Spinner Array Tool (SAT), and obtain better phase separation flow accuracy under different flow conditions. The predicted oil flow is in good agreement with the measured oil flow. The results show that it is feasible to infer the prediction results of the fractional flowrate from the prediction results of the average fluid velocity in the actual production logging.