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dc.date.accessioned 2020-07-07T18:08:49Z
dc.date.available 2020-07-07T18:08:49Z
dc.date.issued 2013-11
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/100175
dc.description.abstract Peak frequency is a spectral seismic attribute widely used for reservoir thickness estimation and hydrocarbon detection. In this work we apply this attribute in the context of the geological storage of carbon dioxide (CO2) and analyze its reliability as a thickness estimator for the gas accumulation. To model the vertical distribution of CO2, we solve the Buckley-Leverett equation with discontinuous flux function. A matrix reflectivity algorithm then computes, in the frequency domain, the seismic reflectivity. We find that the peak frequency variability due to CO2 saturation does not alter significantly its correlation with the accumulation thickness. We then extend the applicability of the spectral attribute by examining its time-lapse response to the evolution of the injected CO2 volume within a reservoir. We find that a description of the CO2-brine contact as well as the evaluation of the reservoir’s caprock sealing capacity can be obtained from this implementation. Peak-frequency time-lapse signatures when the CO2 forms an up-going front, evolves into a growing accumulation and leaks into the caprock are identified. en
dc.format.extent 1183-1197 es
dc.language en es
dc.subject Two-phase flow es
dc.subject Spectral attributes es
dc.subject Seismic reflectivity es
dc.subject CO2 es
dc.title Seismic spectral monitoring of CO2 in a geological reservoir en
dc.type Articulo es
sedici.identifier.uri https://ri.conicet.gov.ar/11336/23519 es
sedici.identifier.uri http://www.cimec.org.ar/ojs/index.php/mc/article/view/4415 es
sedici.identifier.other hdl:11336/23519 es
sedici.identifier.issn 1666-6070 es
sedici.creator.person Gómez, Julián Luis es
sedici.creator.person Ravazzoli, Claudia Leonor es
sedici.subject.materias Geofísica es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Astronómicas y Geofísicas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Mecánica Computacional es
sedici.relation.journalVolumeAndIssue vol. XXXII, no. 14 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)