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...

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Bibliographic Details
Main Authors: Xiaoguang Lin, Hongyu Wang, Zhe Chen, Haifeng Zhang, Yi Li
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917420300155

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