Microseismic event location using global optimization algorithms: An integrated and automated workflow

We perform the location of microseismic events generated in hydraulic fracturing monitoring scenarios using two global optimization techniques: Very Fast Simulated Annealing (VFSA) and Particle Swarm Optimization (PSO), and compare them against the classical grid search (GS). To this end, we present...

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Autores principales: Lagos, Soledad Rocío, Velis, Danilo Rubén
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Astronomía
Microseismic monitoring
Optimization
Location
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/127875
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-127875
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Astronomía
Microseismic monitoring
Optimization
Location
spellingShingle Astronomía
Microseismic monitoring
Optimization
Location
Lagos, Soledad Rocío
Velis, Danilo Rubén
Microseismic event location using global optimization algorithms: An integrated and automated workflow
topic_facet Astronomía
Microseismic monitoring
Optimization
Location
description We perform the location of microseismic events generated in hydraulic fracturing monitoring scenarios using two global optimization techniques: Very Fast Simulated Annealing (VFSA) and Particle Swarm Optimization (PSO), and compare them against the classical grid search (GS). To this end, we present an integrated and optimized workflow that concatenates into an automated bash script the different steps that lead to the microseismic events location from raw 3C data. First, we carry out the automatic detection, denoising and identification of the P- and S-waves. Secondly, we estimate their corresponding backazimuths using polarization information, and propose a simple energy-based criterion to automatically decide which is the most reliable estimate. Finally, after taking proper care of the size of the search space using the backazimuth information, we perform the location using the aforementioned algorithms for 2D and 3D usual scenarios of hydraulic fracturing processes. We assess the impact of restricting the search space and show the advantages of using either VFSA or PSO over GS to attain significant speed-ups.
format Articulo
Articulo
author Lagos, Soledad Rocío
Velis, Danilo Rubén
author_facet Lagos, Soledad Rocío
Velis, Danilo Rubén
author_sort Lagos, Soledad Rocío
title Microseismic event location using global optimization algorithms: An integrated and automated workflow
title_short Microseismic event location using global optimization algorithms: An integrated and automated workflow
title_full Microseismic event location using global optimization algorithms: An integrated and automated workflow
title_fullStr Microseismic event location using global optimization algorithms: An integrated and automated workflow
title_full_unstemmed Microseismic event location using global optimization algorithms: An integrated and automated workflow
title_sort microseismic event location using global optimization algorithms: an integrated and automated workflow
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/127875
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AT velisdaniloruben microseismiceventlocationusingglobaloptimizationalgorithmsanintegratedandautomatedworkflow
bdutipo_str Repositorios
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