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dc.contributor.authorGrasetti, Gabriel-
dc.contributor.authorPiqué, Teresa-
dc.contributor.authorNoya, Martín-
dc.contributor.authorVila, Gabriela-
dc.contributor.authorManoni, Ricardo-
dc.contributor.authorBrisson, Ignacio-
dc.contributor.authorDe Leo, Daniela-
dc.contributor.authorDzelalija, Francisco-
dc.contributor.authorCanale, Nerina-
dc.contributor.authorZalazar, Manuela-
dc.contributor.authorCabana, Cecilia-
dc.contributor.authorTunik, Maisa Andrea-
dc.contributor.authorFortunatti, Natalia-
dc.contributor.authorLebinson, Fernando-
dc.contributor.authorBahía, Marcos-
dc.contributor.authorGrill, Silvia-
dc.date.accessioned2024-07-02T11:52:11Z-
dc.date.available2024-07-02T11:52:11Z-
dc.date.issued2022-10-23-
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/11685-
dc.language.isoenes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.titleAtlas AR-CO2. An Argentinian atlas for underground CO2 storage potentiales_ES
dc.typeObjeto de conferenciaes_ES
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)-
dc.description.filiationFil: Grasetti, Gabriel. YPF Tecnología S.A. (Y-TEC). Argentina.es_ES
dc.description.filiationFil: Piqué, Teresa. YPF Tecnología S.A. (Y-TEC). CONICET, YPF Tecnología S.A. Argentina.es_ES
dc.description.filiationFil: Noya, Martín. YPF Tecnología S.A. (Y-TEC). Argentina.es_ES
dc.description.filiationFil: Vila, Gabriela. YPF Tecnología S.A. (Y-TEC). CONICET, YPF Tecnología S.A. Argentina.es_ES
dc.description.filiationFil: Manoni, Ricardo. YPF S.A. Argentina.es_ES
dc.description.filiationFil: Brisson, Ignacio. YPF S.A. Argentina.es_ES
dc.description.filiationFil: De Leo, Daniela. YPF S.A. Argentina.es_ES
dc.description.filiationFil: Dzelalija, Francisco. YPF S.A. Argentina.es_ES
dc.description.filiationFil: Canale, Nerina. Universidad Nacional de Río Negro. Río Negro; Argentina.es_ES
dc.description.filiationFil: Zalazar, Manuela. YPF Tecnología S.A. (Y-TEC). CONICET, YPF Tecnología S.A. Universidad Nacional de Río Negro. Río Negro; Argentina.es_ES
dc.description.filiationFil: Cabana, Cecilia. Universidad Nacional de Rio Negro. Argentina.es_ES
dc.description.filiationFil: Tunik, Maisa Andrea. Universidad Nacional de Río Negro. Río Negro; Argentina.es_ES
dc.description.filiationFil: Fortunatti, Natalia. Universidad Nacional del Sur. Argentina.es_ES
dc.description.filiationFil: Lebinson, Fernando. Universidad Nacional del Sur. Argentina.es_ES
dc.description.filiationFil: Bahía, Marcos. Universidad Nacional del Sur. Argentina.es_ES
dc.description.filiationFil: Grill, Silvia. Universidad Nacional del Sur. Argentina.es_ES
dc.subject.keywordArgentinaes_ES
dc.subject.keywordcarbon dioxidees_ES
dc.subject.keywordcarbon capture and storagees_ES
dc.subject.keywordgeological storagees_ES
dc.subject.keywordstorage potentiales_ES
dc.subject.keywordatlases_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.materiaCiencias Exactas y Naturaleses_ES
dc.origin.lugarDesarrolloUniversidad Nacional de Río Negro, Instituto de Investigación en Paleobiología y Geologíaes_ES
dc.description.resumenThe recent interest of Argentina in hydrogen production as a clean energy vector using natural gas has brought up the question of how to manage the high CO2 associated emissions; and if there is in the main sedimentary basins of the country the possibility to store CO2 underground. Following the successful initiatives of many other countries, we decided to produce an Atlas of the potential for CO2 underground storage in Argentina. In this work, we present the first results of this assessment for three basins: Neuquén, Golfo San Jorge, and Claromecó, which are well connected to the expected hydrogen generation sites. Neuquén and Golfo San Jorge Basins are the most important hydrocarbon producers in the country. They have the advantage of being extensively studied and developed. In these basins, we considered several stratigraphic units in the location of oil and gas fields as candidate sites for CO2 storage. Claromecó Basin is not productive and not as well characterized. Here we analyzed the coal beds present in two geological formations as potential storage sites. The effective capacity for CO2 storage of the different candidate sites was calculated using the volumetric method introduced by the USDOE. These values together with a chosen complementary set of criteria allowed us to rank the candidates through multicriteria decision analysis. We expect that our results provide a starting point for new and more detailed assessments of the potential for underground CO2 storage in Argentina.es_ES
dc.relation.journalTitle16th International Conference on Greenhouse Gas Control Technologieses_ES
dc.type.subtypeDocumento de ponenciaes_ES
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