Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks

SG Nnabuife, B Kuang, JF Whidborne… - Chemical Engineering …, 2021 - Elsevier
The problem of predicting the regime of a two-phase flow is considered. An approach is
proposed that classifies the flow regime using Deep Neural Networks (DNNs) operating on …

Machine learning classification of flow regimes in a long pipeline-riser system with differential pressure signal

Q Xu, C Liu, X Wang, Y Cao, H Yu, W Li… - Chemical Engineering …, 2021 - Elsevier
Accurate classification of flow regimes in pipeline-riser system is a promising approach for
flow assurance in offshore oil fields. Experiments on two-phase flow regimes in a 1657 m …

[HTML][HTML] Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser

B Kuang, SG Nnabuife, S Sun, JF Whidborne… - Digital Chemical …, 2022 - Elsevier
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using
an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed …

Intelligent recognition of severe slugging in a long-distance pipeline-riser system

Q Xu, W Li, W Liu, X Zhang, C Yang, L Guo - Experimental Thermal and …, 2020 - Elsevier
In this work, experiments on flow regimes during two-phase flow in a long-distance pipeline-
riser system were carried out. The test loop with inner diameter 46 mm consists of a long …

Computer vision-based classification of flow regime and vapor quality in vertical two-phase flow

S Kadish, D Schmid, J Son, E Boje - Sensors, 2022 - mdpi.com
This paper presents a method to classify flow regime and vapor quality in vertical two-phase
(vapor-liquid) flow, using a video of the flow as the input; this represents the first high …

Gas-liquid vertical pipe flow patterns convolutional neural network classification using experimental advanced wire mesh sensor images

ET Brantson, M Abdulkadir, PH Akwensi, H Osei… - Journal of Natural Gas …, 2022 - Elsevier
Flow pattern identification for simultaneous gas-liquid flow in pipes is a central problem in
the petroleum industry. However, there are many conventional methods used for flow …

Characterisation and classification of gas-liquid two-phase flow using conductivity probe and multiple optical sensors

S Chakraborty, PK Das - International Journal of Multiphase Flow, 2020 - Elsevier
Attempts have been made for identification and classification of regimes for upward air-water
two-phase flow fusing the response from multiple sensors. A needle type conductivity probe …

Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns

S Buscher - International Journal of Multiphase Flow, 2022 - Elsevier
High-resolution photographs of the air-water flow in a transparent cross-corrugated channel
are analyzed using digital image processing. Gas-liquid distribution is controlled via several …

Chrono-photographic visualization and characterization of the flow regimes in rewetting by bottom flooding

G Paul, PK Das, I Manna - Experimental Thermal and Fluid Science, 2022 - Elsevier
Many engineering applications encounter the highly complicated rewetting phenomenon.
The complexity of the process arises as the phenomenon is highly transient and possesses …

High-accuracy recognition of gas–liquid two-phase flow patterns: A Flow–Hilbert–CNN hybrid model

P Zhang, X Cao, F Peng, Y Xu, D Guo, X Li… - Geoenergy Science and …, 2023 - Elsevier
In multiphase flow pipelines, the timely and precise identification of flow pattern
characteristics is crucial to guide industrial production, assess pipeline safety, and facilitate …