Identification of two-phase flow regime in the energy industry based on modified convolutional neural network
H Xu, T Tang, B Zhang, Y Liu - Progress in Nuclear Energy, 2022 - Elsevier
The identification of the two-phase flow regime is the most fundamental and crucial target of
fluid mechanics in the nuclear thermal-hydraulic analysis since the accuracy of fluid and …
fluid mechanics in the nuclear thermal-hydraulic analysis since the accuracy of fluid and …
Two-phase flow regime identification based on the liquid-phase velocity information and machine learning
Y Zhang, AN Azman, KW Xu, C Kang, HB Kim - Experiments in Fluids, 2020 - Springer
Two-phase flow regime identification in a horizontal pipe was realized based on the liquid
phase velocity information and the machine learning method. Ultrasound Doppler …
phase velocity information and the machine learning method. Ultrasound Doppler …
Application of selected methods of computational intelligence to recognition of the liquid–gas flow regime in pipeline by use gamma absorption and frequency domain …
Two-phase liquid–gas flows are common in industries such as mining, energy, chemicals,
and oil. The gamma-ray absorption technique is a non-contact method widely used to …
and oil. The gamma-ray absorption technique is a non-contact method widely used to …
Comparative performance of machine-learning and deep-learning algorithms in predicting gas–liquid flow regimes
Highlights What are the main findings? Machine learning algorithms perform more efficiently
than deep learning methods in classifying gas-liquid flow regimes in pipelines. Extreme …
than deep learning methods in classifying gas-liquid flow regimes in pipelines. Extreme …
LSTM model based on multi-feature extractor to detect flow pattern change characteristics and parameter measurement
In the field of petroleum multiphase flow research, accurate measurement of oil-gas two-
phase flow parameters is the research focus. This paper analyzes the changing …
phase flow parameters is the research focus. This paper analyzes the changing …
A machine learning analysis to relate flow pattern and pressure gradient during gas kicks under static conditions
Warning signs of possible kick during drilling operation can either be primary (flow rate
increase and pit gain) or secondary (drilling break, pump pressure decrease,). Drillers rely …
increase and pit gain) or secondary (drilling break, pump pressure decrease,). Drillers rely …
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
This research aims to identify the best machine learning (ML) classification techniques for
classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime …
classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime …
Flow pattern identification of gas-liquid two-phase flow based on integrating mechanism analysis and data mining
The flow pattern identification of gas-liquid two-phase flow is very important to gas field
gathering pipeline. Due to the complexity of gas-liquid two-phase flow, it is difficult to …
gathering pipeline. Due to the complexity of gas-liquid two-phase flow, it is difficult to …
Flow Pattern, Pressure Gradient Relationship of Gas Kick Under Dynamic Conditions
The warning signs of possible kick during drilling operation can either be primary (flow rate
increase and pit gain) or secondary (drilling break, pump pressure decrease, and stroke …
increase and pit gain) or secondary (drilling break, pump pressure decrease, and stroke …
[HTML][HTML] Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation
The flow regimes of GLCC with horizon inlet and a vertical pipe are investigated in
experiments, and the velocities and pressure drops data labeled by the corresponding flow …
experiments, and the velocities and pressure drops data labeled by the corresponding flow …