Evidence map›Paper›PMID 42076575›Full record

ArticleSensors (Basel, Switzerland)2026

A Novel Water-Cut Sensing Method for a Multiphase-Flow Pipeline Using a Ridged-Horn Antenna.

Gaoyang Zhu, Junlin Feng, Yunjun Zhang, Xinhua Sun, Shucheng Liang, Bin Wang, Muzhi Gao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gaoyang ZhuCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Junlin FengCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Yunjun ZhangCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Xinhua SunCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Shucheng LiangCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0009-0000-9400-8414
Bin WangCollege of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.
Muzhi GaoCollege of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.

Funding

National Natural Science Foundation of China 42174141National Natural Science Foundation of China 62301611Shandong Academy of Sciences ZR2022QD082Shandong Academy of Sciences ZR2024MD120Shandong Youth University of Political Science 2023KJ069
6 · The paper itself

Abstract

As oil and gas reservoirs progress into the mid-to-late stages of development, produced fluids increasingly exhibit high water-cut and complex flow regimes. Conventional water-cut measurement techniques based on capacitance, conductance, and resistance often face challenges in terms of accuracy, stability, and adaptability. In this study, a novel non-contact broadband microwave system, based on a ridged-horn antenna microwave transmission sensor (RHAMTS), is proposed to achieve highly sensitive full-range (0-100%) water-cut monitoring. The RHAMTS consists of two identical ridged-horn antennas, whose geometries are optimized through analytical design calculations and full-wave finite-element simulations. Numerical simulations are first performed to elucidate the sensing mechanism. Subsequently, static and dynamic experiments are conducted under two representative conditions: emulsified oil-water mixtures and stratified oil-water layers. The results indicate that the broadband spectral signatures of the RHAMTS can effectively characterize water-cut in both emulsified mixtures and stratified oil-water layers. For emulsified mixtures, both amplitude attenuation and phase shift vary systematically with water-cut, and the RHAMTS can still effectively characterize water-cut under saline conditions. For stratified oil-water flow, results from both static and dynamic experiments demonstrate that amplitude attenuation provides more robust features for practical water-cut discrimination. Compared with conventional methods, the proposed RHAMTS offers non-contact operation, rich spectral information, and compatibility with various flow regimes, providing a feasible and efficient approach for water-cut monitoring under complex field conditions.

Indexed as

broadband microwave sensingoil-water emulsionridged horn antennastratified flowwater-cut measurement

Identifiers

PMID42076575
PMCPMC13120525

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.