Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry

To the best knowledge of the authors, in all the former studies, a fixed value of X-ray tube voltage has been used for investigating gas–liquid two-phase flow characteristics, while the energy of emitted X-ray radiations that depends on the tube voltage can significantly affect the measurement preci...

Full description

Autores:
Alanazi, Abdullah
Alizadeh, Mehdi
Nurgalieva, Karina
Grimaldo Guerrero, John William
Abo-Dief, Hala M.
Eftekhari-Zadeh, Ehsan
nazemi, ehsan
Igor, Narozhnyy
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8974
Acceso en línea:
https://hdl.handle.net/11323/8974
https://doi.org/10.3390/su132413622
https://repositorio.cuc.edu.co/
Palabra clave:
Tube voltage optimization
Artificial intelligence
X-ray
Two-phase flow
GVP
Sustainable technology
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_0aad3ee47efcc66f6e81b72b19f8a82d
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8974
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
title Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
spellingShingle Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
Tube voltage optimization
Artificial intelligence
X-ray
Two-phase flow
GVP
Sustainable technology
title_short Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
title_full Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
title_fullStr Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
title_full_unstemmed Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
title_sort Optimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industry
dc.creator.fl_str_mv Alanazi, Abdullah
Alizadeh, Mehdi
Nurgalieva, Karina
Grimaldo Guerrero, John William
Abo-Dief, Hala M.
Eftekhari-Zadeh, Ehsan
nazemi, ehsan
Igor, Narozhnyy
dc.contributor.author.spa.fl_str_mv Alanazi, Abdullah
Alizadeh, Mehdi
Nurgalieva, Karina
Grimaldo Guerrero, John William
Abo-Dief, Hala M.
Eftekhari-Zadeh, Ehsan
nazemi, ehsan
Igor, Narozhnyy
dc.subject.spa.fl_str_mv Tube voltage optimization
Artificial intelligence
X-ray
Two-phase flow
GVP
Sustainable technology
topic Tube voltage optimization
Artificial intelligence
X-ray
Two-phase flow
GVP
Sustainable technology
description To the best knowledge of the authors, in all the former studies, a fixed value of X-ray tube voltage has been used for investigating gas–liquid two-phase flow characteristics, while the energy of emitted X-ray radiations that depends on the tube voltage can significantly affect the measurement precision of the system. The purpose of present study is to find the optimum tube voltage to increase the accuracy and efficiency of an intelligent X-ray radiation-based two-phase flow meter. The detection system consists of an industrial X-ray tube and one detector located on either side of a steel pipe. Tube voltages in the range of 125–300 kV with a step of 25 kV were investigated. For each tube voltage, different gas volume percentages (GVPs) in the range of 10–90% with a step of 5% were modeled. A feature extraction method was performed on the output signals of the detector in every case, and the obtained matrixes were applied to the designed radial basis function neural networks (RBFNNs). The desired output of the networks was GVP. The precision of the networks in every voltage and every number of neurons in the hidden layer were obtained. The results showed that 225 kV tube voltage is the optimum voltage for this purpose. The obtained mean absolute error (MAE) for this case is less than 0.05, which demonstrates the very high precision of the metering system with an optimum X-ray tube voltage.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-12-09
dc.date.accessioned.none.fl_str_mv 2022-01-16T20:32:54Z
dc.date.available.none.fl_str_mv 2022-01-16T20:32:54Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv 2071-1050
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8974
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.3390/su132413622
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 2071-1050
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8974
https://doi.org/10.3390/su132413622
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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repository.name.fl_str_mv Repositorio de la Universidad de la Costa CUC
repository.mail.fl_str_mv repdigital@cuc.edu.co
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spelling Alanazi, AbdullahAlizadeh, MehdiNurgalieva, KarinaGrimaldo Guerrero, John WilliamAbo-Dief, Hala M.Eftekhari-Zadeh, Ehsannazemi, ehsanIgor, Narozhnyy2022-01-16T20:32:54Z2022-01-16T20:32:54Z2021-12-092071-1050https://hdl.handle.net/11323/8974https://doi.org/10.3390/su132413622Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/To the best knowledge of the authors, in all the former studies, a fixed value of X-ray tube voltage has been used for investigating gas–liquid two-phase flow characteristics, while the energy of emitted X-ray radiations that depends on the tube voltage can significantly affect the measurement precision of the system. The purpose of present study is to find the optimum tube voltage to increase the accuracy and efficiency of an intelligent X-ray radiation-based two-phase flow meter. The detection system consists of an industrial X-ray tube and one detector located on either side of a steel pipe. Tube voltages in the range of 125–300 kV with a step of 25 kV were investigated. For each tube voltage, different gas volume percentages (GVPs) in the range of 10–90% with a step of 5% were modeled. A feature extraction method was performed on the output signals of the detector in every case, and the obtained matrixes were applied to the designed radial basis function neural networks (RBFNNs). The desired output of the networks was GVP. The precision of the networks in every voltage and every number of neurons in the hidden layer were obtained. The results showed that 225 kV tube voltage is the optimum voltage for this purpose. The obtained mean absolute error (MAE) for this case is less than 0.05, which demonstrates the very high precision of the metering system with an optimum X-ray tube voltage.Alanazi, Abdullah-will be generated-orcid-0000-0002-9221-4385-600Alizadeh, Mehdi-will be generated-orcid-0000-0002-1238-5759-600Nurgalieva, Karina-will be generated-orcid-0000-0002-7317-6467-600Grimaldo Guerrero, John William-will be generated-orcid-0000-0002-1632-5374-600Abo-Dief, Hala M.Eftekhari-Zadeh, Ehsan-will be generated-orcid-0000-0003-1480-1450-600nazemi, ehsan-will be generated-orcid-0000-0001-5457-6943-600Igor, Narozhnyy-will be generated-orcid-0000-0003-2644-0226-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sustainabilityhttps://www.mdpi.com/2071-1050/13/24/13622Tube voltage optimizationArtificial intelligenceX-rayTwo-phase flowGVPSustainable technologyOptimization of X-ray tube voltage to improve the precision of two phase flow meters used in petroleum industryArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. 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[CrossRef]PublicationORIGINALOptimization of X-ray Tube Voltage to Improve the Precision of Two Phase Flow Meters Used in Petroleum Industry.pdfOptimization of X-ray Tube Voltage to Improve the Precision of Two Phase Flow Meters Used in Petroleum Industry.pdfapplication/pdf3364643https://repositorio.cuc.edu.co/bitstreams/5813e401-4b13-4cb1-b243-b7e74b339390/download69d9b08199101a44990b298c2334e198MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/4fcff544-ba06-4188-b98b-d6436ebc5859/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/b23f54f1-aa05-4e42-910b-7ab01c1568a3/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILOptimization of X-ray Tube Voltage to Improve the Precision of Two Phase Flow Meters Used in Petroleum Industry.pdf.jpgOptimization of X-ray Tube Voltage to Improve the Precision of Two Phase Flow Meters Used in 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