- Conference date: 17–19 September 2011
- Location: Tianjin, China
We carried out vertical upward oil-water two phase flow experiment and measured fluctuation signals from mini-conductance probes and the vertical multi-electrode array (VMEA). We first define three observed flow patterns in terms of mini-conductance probe. Then, based on the signals obtained from VMEA, we use Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) to investigate oil-water flow patterns from time-frequency perspective. Furthermore, we propose two characteristic parameters, i.e., total energy, and time-frequency entropy, to quantitatively characterize the dynamical characteristics of different flow patterns. The results indicate that AOK TFR is an effective tool for characterizing and distinguishing different oil-water flow patterns.
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