Uncovering flow dynamic behaviors underlying oil–gas–water three phase flow using multivariate synchrosqueezing transform-Reference-Cited by-同舟云学术

Uncovering flow dynamic behaviors underlying oil–gas–water three phase flow using multivariate synchrosqueezing transform

Published:2023-12-05 Issue:0 Volume:0 Page:
ISSN:0932-0784
Container-title:Zeitschrift für Naturforschung A
language:en
Short-container-title:

Author:

OuYang Lei¹,Ren Weikai²,Jin Ningde¹

Affiliation:

1. School of Electrical and Information Engineering , Tianjin University , Tianjin , 300072 , People’s Republic of China

2. Institute of Energy, Peking University , Beijing 100871 , People’s Republic of China

Abstract

Abstract Oil-gas-water three-phase flow is distinguished by its intricate flow pattern. The analysis of experimental observations to reveal the oil-gas-water three phase flow’s dynamic behavior remains a challenging task. In this paper, firstly, a simulation investigation to compare the multivariate pseudo-winger distribution (MPWD) and multivariate synchrosqueezing transform (MSST) is presented. The cross term may be suppressed while maintaining high time-frequency concentration, according to our research on multivariate synchrosqueezing transform. The time-frequency analysis of various vertical oil–gas–water three phase flow patterns is then conducted utilizing MSST. The results from this study reveal that in various frequency bands, slug flow, bubble flow, and churn flow exhibit considerable temporal frequency variances. The MSST can effectively uncover the intrinsic connection between signal fluctuations and flow structure, and promote the understanding of various patterns of flow.

Funder

National Natural Science Foundation of China

Publisher

Walter de Gruyter GmbH

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,Mathematical Physics

Link

https://www.degruyter.com/document/doi/10.1515/zna-2023-0184/pdf

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