Microseismic moment magnitude estimation: an optimization problem in the frequency domain

Autores
Lagos, Soledad Rocío; Velis, Danilo Rubén
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering the same optimization problem with different sets of unknowns. In addition, we evaluate the relative errors that the corresponding solutions generate on the final moment magnitude value.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/154458
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/154458
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Microseismic moment magnitude estimation: an optimization problem in the frequency domainLagos, Soledad RocíoVelis, Danilo RubénGeofísicaMicroseismic monitoringOptimizationMoment magnitudeVery fast simulated annealingWe estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering the same optimization problem with different sets of unknowns. In addition, we evaluate the relative errors that the corresponding solutions generate on the final moment magnitude value.Facultad de Ciencias Astronómicas y Geofísicas2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/154458enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-544-754-7info:eu-repo/semantics/altIdentifier/doi/10.23919/RPIC.2017.8211639info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:31:49Zoai:sedici.unlp.edu.ar:10915/154458Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:31:49.574SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Microseismic moment magnitude estimation: an optimization problem in the frequency domain
title Microseismic moment magnitude estimation: an optimization problem in the frequency domain
spellingShingle Microseismic moment magnitude estimation: an optimization problem in the frequency domain
Lagos, Soledad Rocío
Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
title_short Microseismic moment magnitude estimation: an optimization problem in the frequency domain
title_full Microseismic moment magnitude estimation: an optimization problem in the frequency domain
title_fullStr Microseismic moment magnitude estimation: an optimization problem in the frequency domain
title_full_unstemmed Microseismic moment magnitude estimation: an optimization problem in the frequency domain
title_sort Microseismic moment magnitude estimation: an optimization problem in the frequency domain
dc.creator.none.fl_str_mv Lagos, Soledad Rocío
Velis, Danilo Rubén
author Lagos, Soledad Rocío
author_facet Lagos, Soledad Rocío
Velis, Danilo Rubén
author_role author
author2 Velis, Danilo Rubén
author2_role author
dc.subject.none.fl_str_mv Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
topic Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
dc.description.none.fl_txt_mv We estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering the same optimization problem with different sets of unknowns. In addition, we evaluate the relative errors that the corresponding solutions generate on the final moment magnitude value.
Facultad de Ciencias Astronómicas y Geofísicas
description We estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering the same optimization problem with different sets of unknowns. In addition, we evaluate the relative errors that the corresponding solutions generate on the final moment magnitude value.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/154458
url http://sedici.unlp.edu.ar/handle/10915/154458
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-544-754-7
info:eu-repo/semantics/altIdentifier/doi/10.23919/RPIC.2017.8211639
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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