Abstract
Oil-gas-water three-phase flow is a highly complex flow. The characterization and identification of the three-phase flow regimes is helpful to the in-depth understanding and further research of multiphase flow. For the flow regimes identification of oil-gas-water three-phase flow, considering the limited detection space, angle, and information of a single sensor, the 16-electrodes conductance sensor is used to obtain cross-sectional dielectric distribution data to achieve flow regimes characterization and identification. Through performing the probability density function (PDF) and continuous wavelet transform (CWT) on the preprocessed data, the time-domain statistical characteristics and the time-frequency domain representation of the flow information at different cross-sectional heights are obtained. And using statistical methods, and Isomap feature reduction method to realize the structure visualization of oil-gas-water three-phase flow regimes. The flow regimes identification method based on flow characterization in the time-frequency domain not only realizes the detailed characterization of the three-phase flow process, but also provides a basis for the flow regimes identification of more experimental samples in the future.
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