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: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
|
Series: | Measurement: Sensors |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917420300155 |