A Modular Differential Dielectric Sensor (DDS) for Use in Multiphase Separation, Process Measurement and Control—Part I: Analytical Modeling

2009 ◽  
Author(s):  
D. Xiang ◽  
R. Mohan ◽  
J. Marrelli ◽  
S. Wang ◽  
O. Shoham
Keyword(s):  
Analytical Modeling ◽  
Process Management ◽  
Produced Water ◽  
Surface Measurement ◽  
Experimental Investigations ◽  
Operational Conditions ◽  
Fluid Properties ◽  
Sensor Geometry ◽  
And Control ◽  
Measurement And Control

Oil industry increasingly demands accurate and stable continuous measurement of the percent water in crude oil production streams (watercut) over the entire 0 to 100% range. High accuracy and stability are also required for surface measurement to support niche applications such as control of processes which remove trace amounts of oil and particulates from produced water prior to disposal. Differential Dielectric Sensors (DDS) have been developed by Chevron as independent tools connected with multiphase meters for process management and composition measurement. This paper is a two-part paper — the first part (current paper) deals with analytical modeling of the DDS (configured in a single ended mode) and the second part discusses the results of key experimental investigations obtained in a differential mode. The main objective of this paper is to develop appropriate mathematical models for the DDS which characterize the microwave attenuation and phase shift as a function of fluid properties, sensor geometry and operational conditions. Forward models based on the analysis of microwave propagation have been developed for sensors configured as circular waveguides. Results of this project will be useful for optimization and refinement of multiphase meters.

A Modular Differential Dielectric Sensor for Use in Multiphase Separation, Process Measurement, and Control—Part I: Analytical Modeling

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Dong Xiang ◽  
Ram S. Mohan ◽  
Jack D. Marrelli ◽  
Shoubo Wang ◽  
Ovadia Shoham
Keyword(s):  
Analytical Modeling ◽  
Process Management ◽  
Produced Water ◽  
Surface Measurement ◽  
Experimental Investigations ◽  
Operational Conditions ◽  
Fluid Properties ◽  
Sensor Geometry ◽  
And Control ◽  
Measurement And Control

Oil industry increasingly demands accurate and stable continuous measurement of the percent water in crude oil production streams (watercut) over the entire 0 to 100% range. High accuracy and stability are also required for surface measurement to support niche applications such as control of processes which remove trace amounts of oil and particulates from produced water prior to disposal. Differential dielectric sensors (DDS) have been developed by Chevron as independent tools connected with multiphase meters for process management and composition measurement. This paper is a two-part paper—the first part (current paper) deals with analytical modeling of the DDS (configured in a single ended mode) and the second part (accompanying paper) discusses the results of key experimental investigations obtained in a differential mode. The main objective of this paper is to develop appropriate mathematical models for the DDS which characterize the microwave attenuation and phase shift as functions of fluid properties, sensor geometry and operational conditions. Forward models based on the analysis of microwave propagation have been developed for sensors configured as circular waveguides. Results of this project will be useful for optimization and refinement of multiphase meters.

scholarly journals Modeling and simulation of longwall scraper conveyor considering operational faults

2016 ◽  
Vol 38 (2) ◽  
pp. 15-27 ◽  
Author(s):  
Krzysztof Cenacewicz ◽  
Andrzej Katunin
Keyword(s):  
Modeling And Simulation ◽  
Potential Application ◽  
Measurement Noise ◽  
Operational Control ◽  
Diagnostic Systems ◽  
Mechanical Measurement ◽  
Operational Conditions ◽  
Scraper Conveyor ◽  
And Control ◽  
Measurement And Control

AbstractThe paper provides a description of analytical model of a longwall scraper conveyor, including its electrical, mechanical, measurement and control actuating systems, as well as presentation of its implementation in the form of computer simulator in the Matlab®/Simulink®environment. Using this simulator eight scenarios typical of usual operational conditions of an underground scraper conveyor can be generated. Moreover, the simulator provides a possibility of modeling various operational faults and taking into consideration a measurement noise generated by transducers. The analysis of various combinations of scenarios of operation and faults with description is presented. The simulator developed may find potential application in benchmarking of diagnostic systems, testing of algorithms of operational control or can be used for supporting the modeling of real processes occurring in similar systems.

Computers for data, control and simulation

1988 ◽  
Vol 46 ◽  
pp. 920-921
Author(s):  
David C. Joy
Keyword(s):  
Personal Computers ◽  
Monitoring And Control ◽  
Data Logging ◽  
Data Logger ◽  
Operational Conditions ◽  
Data Control ◽  
The Many ◽  
And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

2. Measurement and Control of Airborne Microorganisms Using Electrostatic Methods

2001 ◽  
Author(s):  
G. Mainelis ◽  
R. Gorny ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
...  
Keyword(s):  
Airborne Microorganisms ◽  
And Control ◽  
Measurement And Control
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