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

    Source: Journal of Energy Resources Technology:;2011:;volume( 133 ):;issue: 004::page 43002
    Author:
    Dong Xiang
    ,
    Jack D. Marrelli
    ,
    Shoubo Wang
    ,
    Ovadia Shoham
    ,
    Ram S. Mohan
    DOI: 10.1115/1.4004978
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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.
    keyword(s): Sensors , Modeling , Water , Microwaves , Fluids AND Phase shift ,
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      A Modular Differential Dielectric Sensor for Use in Multiphase Separation, Process Measurement, and Control—Part I: Analytical Modeling

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    contributor authorDong Xiang
    contributor authorJack D. Marrelli
    contributor authorShoubo Wang
    contributor authorOvadia Shoham
    contributor authorRam S. Mohan
    date accessioned2017-05-09T00:43:16Z
    date available2017-05-09T00:43:16Z
    date copyrightDecember, 2011
    date issued2011
    identifier issn0195-0738
    identifier otherJERTD2-26579#043002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145837
    description abstractOil 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Modular Differential Dielectric Sensor for Use in Multiphase Separation, Process Measurement, and Control—Part I: Analytical Modeling
    typeJournal Paper
    journal volume133
    journal issue4
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4004978
    journal fristpage43002
    identifier eissn1528-8994
    keywordsSensors
    keywordsModeling
    keywordsWater
    keywordsMicrowaves
    keywordsFluids AND Phase shift
    treeJournal of Energy Resources Technology:;2011:;volume( 133 ):;issue: 004
    contenttypeFulltext
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