2019
DOI: 10.1109/access.2018.2887309
|View full text |Cite
|
Sign up to set email alerts
|

Sensing Platform for Two-Phase Flow Studies

Abstract: This paper describes the development and application of a sensing platform which consists of fast conductance sensors and proper data acquisition and management software which aims at the investigation of two-phase flow parameters in pipelines. A number of sensing nodes are connected through a network which allows monitoring the flow at different pipeline positions. In addition, a data management Web-based platform is presented in order to store and manage the massive volume of data generated by data acquisiti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(5 citation statements)
references
References 19 publications
0
5
0
Order By: Relevance
“…Scenario 2: We assumed that ωðtÞ 6 ¼ 0 which means that the system is considered in the presence of disturbance. For the proposed system model in (37) and designed observer in (38), this problem changes to H ∞ observer design which leads to the determination of observer gain L in a way that the estimation error converges to zero [14]. In other words:…”
Section: Performance Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Scenario 2: We assumed that ωðtÞ 6 ¼ 0 which means that the system is considered in the presence of disturbance. For the proposed system model in (37) and designed observer in (38), this problem changes to H ∞ observer design which leads to the determination of observer gain L in a way that the estimation error converges to zero [14]. In other words:…”
Section: Performance Analysismentioning
confidence: 99%
“…Due to the technological challenges, the conventional methods either are costly and need much equipment, or are not capable of making highly-accurate direct measurements. As a result, using soft sensors is a solution to overcome the existing problems and increase the accuracy of multiphase fluids measurement [14]. In this regard, the Different types of Kalman filter (KF) such as extended (EKF) or unscented (UKF) Kalman Filter area well-established technique for state estimation [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…In the field of multiphase flow sensing, researchers have implemented electrical sensing elements using different methods such as parallel plate resistive/capacitive/impedimetric techniques, which often are based on wire mesh or two wire systems. There are examples in the literature on both the macro [21,22,23] and micro scales [24,25,26,27] that show how different fields of application, such as the oil and gas industry, fine chemicals production or even bioanalytics can benefit from integrated sensing systems for two phase flows. The common point in all of these studies is that the main objective is to detect local void fraction and flow regime patterns [28,24,29,22].…”
Section: Electrical Sensing For Two-phase Flowmentioning
confidence: 99%
“…There are examples in the literature on both the macro [21][22][23] and micro scales [24][25][26][27] that show how different fields of application, such as the oil and gas industry, fine chemicals production or even bioanalytics can benefit from integrated sensing systems for two phase flows. The common point in all of these studies is that the main objective is to detect local void fraction and flow regime patterns [22,24,28,29].…”
Section: Electrical Sensing For Two-phase Flowmentioning
confidence: 99%
“…steam quality, gas and liquid volume fraction, as a process variable [19] . Santos et al [20] illustrated soft sensor combining the fast conductance sensors with appropriate computational algorithms is capable of rigorous measurement of two-phase flow states in pipeline. Yan et al [21] conducted a comparative study to investigate performance of different soft sensors and computing methods for multi-phase fluid flow estimation with a particular focus on the measurement of individual phase fractions and velocities.…”
Section: Introductionmentioning
confidence: 99%