Machine learning classification of flow regimes in a long pipeline-riser system with differential pressure signal-Reference-Cited by-同舟云学术

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

Published:2021-04 Issue: Volume:233 Page:116402
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Xu Qiang,Liu Chenying,Wang Xinyu,Cao Yeqi,Yu Haiyang,Li Wensheng,Guo Liejin

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference33 articles.

1. Experimental investigation on mitigation of severe slugging in pipeline-riser system by quasi-plane helical pipe device;Yao;Exp. Therm Fluid Sci.,2019

2. Non-uniformity of gas/liquid flow in a riser and impact of operation and pipe configuration on slugging characteristics;Zou;Exp. Therm Fluid Sci.,2018

3. Effect of nitrifiers community on fouling mitigation and nitrification efficiency in a membrane bioreactor;Sepehri;Chemical Engineering and Processing-Process Intensification,2018

4. Activity enhancement of ammonia-oxidizing bacteria and nitrite-oxidizing bacteria in activated sludge process: metabolite reduction and CO2 mitigation intensification process;Sepehri;Appl. Water Sci.,2019

5. Offshore Riser Slug Flow Avoidance: Mathematical Models for Design and Optimization[C];Yocum,1973

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3. Identification of the Structure of Liquid–Gas Flow in a Horizontal Pipeline Using the Gamma-Ray Absorption and a Convolutional Neural Network;Applied Sciences;2024-06-04

4. Experiments and predictions for severe slugging of gas-liquid two-phase flows in a long-distance pipeline-riser system;Ocean Engineering;2024-06

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