Water Content Monitoring in Water-in-Oil Emulsions Using a Piezoceramic Sensor

This work deals with a transmission-reception ultrasonic technique for the real-time estimation of the water content in water-in-crude oil emulsions. The working principle is the measurement of the propagation velocity, using two in-house manufactured transducers designed for water coupling, with a central frequency of about 3 MHz. Water-in-crude oil emulsions with a water volume concentration from 0% to 40% were generated by mechanical emulsification. Tests were carried out at three temperatures. The results showed that the propagation velocity is a sensitive parameter that is able to determine the water content, allowing for differentiating the concentrations of up to 40% of water. The main motivation is the development of techniques for non-invasive and real-time monitoring of the water content of emulsions in petrochemical processes.

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Water Content Monitoring in Water-in-Crude-Oil Emulsions Using an Ultrasonic Multiple-Backscattering Sensor

Sensors ◽

10.3390/s21155088 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5088

Author(s):

Alberto L. Durán ◽

Ediguer E. Franco ◽

Carlos A. B. Reyna ◽

Nicolás Pérez ◽

Marcos S. G. Tsuzuki ◽

...

Keyword(s):

Crude Oil ◽

Water Content ◽

Multiple Scattering ◽

Propagation Velocity ◽

Ultrasonic Transducer ◽

Near Field ◽

Water Volume ◽

Signal Energy ◽

On Line ◽

Oil Emulsions

This work shows the application of an ultrasonic multiple-scattering sensor for monitoring water-in-petroleum emulsions. The sensor consists of a commercial ultrasonic transducer with an array of cylindrical scatterers placed in the near field. The scatterers are thin metal bars arranged in rows in front of the transducer. The backscattering signals were analyzed by calculating the wave energy and by a cross-correlation between signal segments; they were also used to determine the propagation velocity in the emulsions. The tests performed used emulsions with water volume concentrations from 0 to 50%. The results showed that both the signal energy and propagation velocity strongly depended on the concentration of water in the emulsion. Therefore, the ultrasonic multiple-scattering sensor can be used for on-line and real-time monitoring of the water content in water-in-crude-oil emulsions.

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Real-time estimation of oil quantity in crude oil tanks

IEE Proceedings - Science Measurement and Technology ◽

10.1049/ip-smt:20050058 ◽

2006 ◽

Vol 153 (3) ◽

pp. 108-112 ◽

Cited By ~ 2

Author(s):

X.-G. Chen ◽

D.-W. Gu ◽

Y. Qu

Keyword(s):

Crude Oil ◽

Real Time ◽

Time Estimation ◽

Real Time Estimation ◽

Oil Tanks

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Signal processing technique for non-invasive real-time estimation of cardiac output by inductance cardiography (thoracocardiography)

Medical & Biological Engineering & Computing ◽

10.1007/bf02348435 ◽

2003 ◽

Vol 41 (3) ◽

pp. 302-309 ◽

Cited By ~ 3

Author(s):

G. B. Bucklar ◽

V. Kaplan ◽

K. E. Bloch

Keyword(s):

Signal Processing ◽

Cardiac Output ◽

Real Time ◽

Time Estimation ◽

Processing Technique ◽

Signal Processing Technique ◽

Non Invasive ◽

Real Time Estimation

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Real time estimation of brain water content in comatose patients

Annals of Neurology ◽

10.1002/ana.23619 ◽

2012 ◽

Vol 72 (3) ◽

pp. 344-350 ◽

Cited By ~ 18

Author(s):

Sang-Bae Ko ◽

H. Alex Choi ◽

Gunjan Parikh ◽

J. Michael Schmidt ◽

Kiwon Lee ◽

...

Keyword(s):

Water Content ◽

Real Time ◽

Time Estimation ◽

Brain Water Content ◽

Real Time Estimation ◽

Brain Water

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A machine for real-time estimation of the tribological characteristics of materials

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2020-86-4-61-65 ◽

2020 ◽

Vol 86 (4) ◽

pp. 61-65

Author(s):

M. V. Abramchuk ◽

R. V. Pechenko ◽

K. A. Nuzhdin ◽

V. M. Musalimov

Keyword(s):

Real Time ◽

Time Estimation ◽

Tribological Characteristics ◽

Continuous Processing ◽

Friction Machine ◽

Dynamic Friction Coefficient ◽

Displacement Sensors ◽

Frictional Interaction ◽

Real Time Estimation ◽

Automated Quality Control

A reciprocating friction machine Tribal-T intended for automated quality control of the rubbing surfaces of tribopairs is described. The distinctive feature of the machine consists in implementation of the forced relative motion due to the frictional interaction of the rubbing surfaces fixed on the drive and conjugate platforms. Continuous processing of the signals from displacement sensors is carried out under conditions of continuous recording of mutual displacements of loaded tribopairs using classical approaches of the theory of automatic control to identify the tribological characteristics. The machine provides consistent visual real time monitoring of the parameters. The MATLAB based computer technologies are actively used in data processing. The calculated tribological characteristics of materials, i.e., the dynamic friction coefficient, damping coefficient and measure of the surface roughness, are presented. The tests revealed that a Tribal-T reciprocating friction machine is effective for real-time study of the aforementioned tribological characteristics of materials and can be used for monitoring of the condition of tribo-nodes of machines and mechanisms.

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Onboard Real-time Estimation of Mean Orbital Elements with Atmospheric Drag

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2013.01722 ◽

2013 ◽

Vol 39 (10) ◽

pp. 1722

Author(s):

Zhao-Wei SUN ◽

Wei-Chao ZHONG ◽

Shi-Jie ZHANG ◽

Jian ZHANG

Keyword(s):

Real Time ◽

Time Estimation ◽

Atmospheric Drag ◽

Orbital Elements ◽

Real Time Estimation

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Demulsification of a Water-in-crude Oil Emulsion with a Corn Oil BasedDemulsifier using the Response Surface Methodology: Modelling and Optimization

Recent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering) ◽

10.2174/2405520414999210104154915 ◽

2021 ◽

Vol 14 ◽

Author(s):

Abed Saad ◽

Nour Abdurahman ◽

Rosli Mohd Yunus

Keyword(s):

Response Surface Methodology ◽

Crude Oil ◽

Water Content ◽

Response Surface ◽

Separation Efficiency ◽

Corn Oil ◽

Oil Emulsion ◽

Optimal Values ◽

Input Variables ◽

Oil Emulsions

: In this study, the Sany-glass test was used to evaluate the performance of a new surfactant prepared from corn oil as a demulsifier for crude oil emulsions. Central composite design (CCD), based on the response surface methodology (RSM), was used to investigate the effect of four variables, including demulsifier dosage, water content, temperature, and pH, on the efficiency of water removal from the emulsion. As well, analysis of variance was applied to examine the precision of the CCD mathematical model. The results indicate that demulsifier dose and emulsion pH are two significant parameters determining demulsification. The maximum separation efficiency of 96% was attained at an alkaline pH and with 3500 ppm demulsifier. According to the RSM analysis, the optimal values for the input variables are 40% water content, 3500 ppm demulsifier, 60 °C, and pH 8.

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