Process simulation-based improvements to maximize naphtha production in an existing gas processing plant

The parameters for the proper operation of each one of the process stages (compression, cooling, and separation) in an existing gas processing plant which processes 1.5 million standard cubic feet per day (MMSCFD) were determined. The gas plant was simulated using the Aspen HYSYS® V7.3 software with...

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Autores:
Mesa Gómez, Adriana María
Valero Valdivieso, Manuel Fernando
Figueredo Medina, Manuel
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
eng
OAI Identifier:
oai:repository.javeriana.edu.co:10554/42091
Acceso en línea:
http://revistas.javeriana.edu.co/index.php/iyu/article/view/10884
http://hdl.handle.net/10554/42091
Palabra clave:
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openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
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oai_identifier_str oai:repository.javeriana.edu.co:10554/42091
network_acronym_str JAVERIANA2
network_name_str Repositorio Universidad Javeriana
repository_id_str
spelling Atribución-NoComercial-SinDerivadas 4.0 InternacionalCopyright (c) 2016 Adriana María Mesa Gómez, Manuel Fernando Valero Valdiviesohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mesa Gómez, Adriana MaríaValero Valdivieso, Manuel FernandoFigueredo Medina, Manuel2019-03-26T20:59:23Z2020-04-16T17:28:09Z2019-03-26T20:59:23Z2020-04-16T17:28:09Z2016-06-20http://revistas.javeriana.edu.co/index.php/iyu/article/view/1088410.11144/Javeriana.iyu20-2.psim2011-27690123-2126http://hdl.handle.net/10554/42091The parameters for the proper operation of each one of the process stages (compression, cooling, and separation) in an existing gas processing plant which processes 1.5 million standard cubic feet per day (MMSCFD) were determined. The gas plant was simulated using the Aspen HYSYS® V7.3 software with the current operational plant conditions and the measured properties of the fluids (gas chromatography for input gas, fuel gas, and LPG). Subsequently, unidimensional searches were performed via sensitivity analyses of the key stages of the process to obtain suitable parameters for improving naphtha production. This resulted in a maximum naphtha recovery rate of 99.13% (which is an improvement over the current recovery rate of 82.79%) and an increase in naphtha quality of 20.85%. This approach provides a tool for decision-making and establishes a basis for analyzing other plantsPDFapplication/pdfengPontificia Universidad Javerianahttp://revistas.javeriana.edu.co/index.php/iyu/article/view/10884/13770Ingenieria y Universidad; Vol 20 No 2 (2016): July-December; 355-372Ingenieria y Universidad; Vol. 20 Núm. 2 (2016): Julio-Diciembre; 355-372Process simulation-based improvements to maximize naphtha production in an existing gas processing planthttp://purl.org/coar/version/c_970fb48d4fbd8a85Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlePeer-reviewed Article10554/42091oai:repository.javeriana.edu.co:10554/420912023-03-29 12:44:06.384Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.co
dc.title.spa.fl_str_mv Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
spellingShingle Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title_short Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title_full Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title_fullStr Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title_full_unstemmed Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
title_sort Process simulation-based improvements to maximize naphtha production in an existing gas processing plant
dc.creator.fl_str_mv Mesa Gómez, Adriana María
Valero Valdivieso, Manuel Fernando
Figueredo Medina, Manuel
dc.contributor.author.none.fl_str_mv Mesa Gómez, Adriana María
Valero Valdivieso, Manuel Fernando
Figueredo Medina, Manuel
description The parameters for the proper operation of each one of the process stages (compression, cooling, and separation) in an existing gas processing plant which processes 1.5 million standard cubic feet per day (MMSCFD) were determined. The gas plant was simulated using the Aspen HYSYS® V7.3 software with the current operational plant conditions and the measured properties of the fluids (gas chromatography for input gas, fuel gas, and LPG). Subsequently, unidimensional searches were performed via sensitivity analyses of the key stages of the process to obtain suitable parameters for improving naphtha production. This resulted in a maximum naphtha recovery rate of 99.13% (which is an improvement over the current recovery rate of 82.79%) and an increase in naphtha quality of 20.85%. This approach provides a tool for decision-making and establishes a basis for analyzing other plants
publishDate 2016
dc.date.created.none.fl_str_mv 2016-06-20
dc.date.accessioned.none.fl_str_mv 2019-03-26T20:59:23Z
2020-04-16T17:28:09Z
dc.date.available.none.fl_str_mv 2019-03-26T20:59:23Z
2020-04-16T17:28:09Z
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.hasversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.local.spa.fl_str_mv Artículo de revista
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.other.none.fl_str_mv Peer-reviewed Article
format http://purl.org/coar/resource_type/c_6501
dc.identifier.none.fl_str_mv http://revistas.javeriana.edu.co/index.php/iyu/article/view/10884
10.11144/Javeriana.iyu20-2.psim
dc.identifier.issn.none.fl_str_mv 2011-2769
0123-2126
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10554/42091
url http://revistas.javeriana.edu.co/index.php/iyu/article/view/10884
http://hdl.handle.net/10554/42091
identifier_str_mv 10.11144/Javeriana.iyu20-2.psim
2011-2769
0123-2126
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.uri.none.fl_str_mv http://revistas.javeriana.edu.co/index.php/iyu/article/view/10884/13770
dc.relation.citationissue.eng.fl_str_mv Ingenieria y Universidad; Vol 20 No 2 (2016): July-December; 355-372
dc.relation.citationissue.spa.fl_str_mv Ingenieria y Universidad; Vol. 20 Núm. 2 (2016): Julio-Diciembre; 355-372
dc.rights.eng.fl_str_mv Copyright (c) 2016 Adriana María Mesa Gómez, Manuel Fernando Valero Valdivieso
dc.rights.licence.*.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rights.uri.eng.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
Copyright (c) 2016 Adriana María Mesa Gómez, Manuel Fernando Valero Valdivieso
http://creativecommons.org/licenses/by/4.0
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.spa.fl_str_mv PDF
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.eng.fl_str_mv Pontificia Universidad Javeriana
institution Pontificia Universidad Javeriana
repository.name.fl_str_mv Repositorio Institucional - Pontificia Universidad Javeriana
repository.mail.fl_str_mv repositorio@javeriana.edu.co
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