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

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)...

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Detalles Bibliográficos
Autores principales: Lagos, Soledad Rocío, Velis, Danilo Rubén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/154458
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-154458
record_format dspace
spelling I19-R120-10915-1544582023-06-16T20:06:39Z http://sedici.unlp.edu.ar/handle/10915/154458 isbn:978-987-544-754-7 Microseismic moment magnitude estimation: an optimization problem in the frequency domain Lagos, Soledad Rocío Velis, Danilo Rubén 2017-09 2017 2023-06-16T16:29:17Z en Geofísica Microseismic monitoring Optimization Moment magnitude Very fast simulated annealing 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
spellingShingle Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
Lagos, Soledad Rocío
Velis, Danilo Rubén
Microseismic moment magnitude estimation: an optimization problem in the frequency domain
topic_facet Geofísica
Microseismic monitoring
Optimization
Moment magnitude
Very fast simulated annealing
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.
format Objeto de conferencia
Objeto de conferencia
author Lagos, Soledad Rocío
Velis, Danilo Rubén
author_facet Lagos, Soledad Rocío
Velis, Danilo Rubén
author_sort Lagos, Soledad Rocío
title Microseismic moment magnitude estimation: an optimization problem in the frequency domain
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
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/154458
work_keys_str_mv AT lagossoledadrocio microseismicmomentmagnitudeestimationanoptimizationprobleminthefrequencydomain
AT velisdaniloruben microseismicmomentmagnitudeestimationanoptimizationprobleminthefrequencydomain
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