AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (16.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Paper | Open Access

Dual-modality microwave-conductivity sensing system for flow characterization in high water-cut production wells

Lan-Di BaiNing-De Jin( )Chuan-Shun LiuJi-Dong WeiYing-Yu Ren
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China

Edited by Jia-Jia Fei

Peer review under the responsibility of China University of Petroleum (Beijing).

Show Author Information

Abstract

This study introduces a novel microwave-conductivity dual-modality sensing system for liquid-liquid flow measurement in oilfield water injection. The system combines a flexible microstrip array antenna (FMAA) for water holdup detection and multi-height electrode conductance sensors (CSMHEs) for cross-correlation velocity measurement. The microstrip array design of the FMAA ensures a more uniform electric field distribution, effectively mitigating the influence of nonuniform flow structures. The geometric dimensions of the FMAA are meticulously optimized through finite element analysis. Simulation reveals that the phase output exhibits high sensitivity to water holdup at 1.3 GHz. Dynamic oil-water flow experiments are conducted. The identification of four distinct flow patterns was achieved by analyzing real-time snapshots and synchronized output signals from both the FMAA and CSMHEs. Water holdup is determined by establishing mixed dielectric constant models for different flow patterns using the FMAA. The results indicate a strong correlation between the phase outputs of the FMAA and the water holdup, with a measurement error of 2.27%. Furthermore, a relationship was established between the cross-correlation velocity obtained from the CSMHEs and the mixture and oil superficial velocities. Additionally, by establishing drift-flux models for different flow patterns, the relationships among oil superficial velocity, water holdup, and mixture velocity are determined. Through the simultaneous solution, the prediction of mixture velocity and phase superficial velocities is ultimately achieved. The measurement error of superficial velocities of water and oil are 3.44% and 19.12%, respectively. This approach demonstrates an effective new methodology for measuring liquid-liquid flows.

References

【1】
【1】
 
 
Petroleum Science
Pages 1319-1334

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Bai L-D, Jin N-D, Liu C-S, et al. Dual-modality microwave-conductivity sensing system for flow characterization in high water-cut production wells. Petroleum Science, 2026, 23(3): 1319-1334. https://doi.org/10.1016/j.petsci.2025.12.006

206

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 15 May 2025
Revised: 02 December 2025
Accepted: 03 December 2025
Published: 09 December 2025
© 2025 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).