Detecting Pipeline Anomalies and Variations in Acoustic Velocity in Multiphase Flow Regimes Using Computational Fluid Dynamics

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ISSN Print: 2165-3852
ISSN Online: 2165-3860
www.scirp.org/journal/ojfd
E-mail: ojfd@scirp.org

"Detecting Pipeline Anomalies and Variations in Acoustic Velocity in Multiphase Flow Regimes Using Computational Fluid Dynamics"
written by Amod Kumar, Claudio Olmi, Oluwatosin Ogundare, Pranab Jha, David Bennett,
published by Open Journal of Fluid Dynamics, Vol.10 No.3, 2020

has been cited by the following article(s):

[1]	Tagging and tracking oil-gas mixtures in multiphase pipelines
	Journal of Petroleum Science …, 2022

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[1]	Industrial Engineering with Large Language Models: A Case Study of ChatGPT's Performance on Oil & Gas Problems 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA), 2023 DOI:10.1109/ICCMA59762.2023.10374622

[2]	Tagging and tracking oil-gas mixtures in multiphase pipelines Journal of Petroleum Science and Engineering, 2022 DOI:10.1016/j.petrol.2022.110982