Measurement of the flow rate of oil and water using microwave and Venturi sensors with end-to-end dual convolutional neural network
Considering that the one-dimensional convolutional layer (conv1d) is specifically designed for time series, this paper proposes a method for measuring the water-to-liquid ratio (WLR) in oil-gas-water multiphase flow, using a convolutional neural network based on a conv1d, microwave amplitude time se...
Main Authors: | Xiaoguang Lin, Hongyu Wang, Zhe Chen, Haifeng Zhang, Yi Li |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
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Series: | Measurement: Sensors |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917420300155 |
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