Using fish lateral line sensing to improve seismic acquisition and processing.

Bioengineering, which studies the principles and design of biological systems, is a field that has inspired the development of several technologies that are currently in use. In this work, we use concepts from the fish lateral line sensing mechanism and apply them to seismic imaging processing. The...

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Main Authors: Franscisco Wilton de Freitas Silva, Sérgio Luiz Eduardo Ferreira da Silva, Marcos Vinícius Cândido Henriques, Gilberto Corso
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0213847
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spelling doaj-fa657cb6092b4438957de172418ec49b2021-03-03T20:44:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01144e021384710.1371/journal.pone.0213847Using fish lateral line sensing to improve seismic acquisition and processing.Franscisco Wilton de Freitas SilvaSérgio Luiz Eduardo Ferreira da SilvaMarcos Vinícius Cândido HenriquesGilberto CorsoBioengineering, which studies the principles and design of biological systems, is a field that has inspired the development of several technologies that are currently in use. In this work, we use concepts from the fish lateral line sensing mechanism and apply them to seismic imaging processing. The lateral line is a sensory system composed of an integrated array of mechanical sensors spanning along the fish body. We compare the array of sensors along body fish with the seismic acquisition, which employs an array of equally spaced identical mechanical sensors to image the Earth's subsurface. In both situations, the mechanical sensors capture and process mechanical vibrations from the environment to produce useful information. We explore the strategy of using the low-pass and high-pass sensors schema of fish lateral line to improve the seismic technique. We use the full-wave inversion method to compare the conventional acquisition procedure of identical sensors with alternative sets of different sensors, which mimics the fish lateral line. Our results show that the alternate sensors arrangement surpasses the performance of the conventional acquisition method, using just half of the input information. The results point at an image processing technique that is computationally more efficient and economical than the usual seismic processing method.https://doi.org/10.1371/journal.pone.0213847
collection DOAJ
language English
format Article
sources DOAJ
author Franscisco Wilton de Freitas Silva
Sérgio Luiz Eduardo Ferreira da Silva
Marcos Vinícius Cândido Henriques
Gilberto Corso
spellingShingle Franscisco Wilton de Freitas Silva
Sérgio Luiz Eduardo Ferreira da Silva
Marcos Vinícius Cândido Henriques
Gilberto Corso
Using fish lateral line sensing to improve seismic acquisition and processing.
PLoS ONE
author_facet Franscisco Wilton de Freitas Silva
Sérgio Luiz Eduardo Ferreira da Silva
Marcos Vinícius Cândido Henriques
Gilberto Corso
author_sort Franscisco Wilton de Freitas Silva
title Using fish lateral line sensing to improve seismic acquisition and processing.
title_short Using fish lateral line sensing to improve seismic acquisition and processing.
title_full Using fish lateral line sensing to improve seismic acquisition and processing.
title_fullStr Using fish lateral line sensing to improve seismic acquisition and processing.
title_full_unstemmed Using fish lateral line sensing to improve seismic acquisition and processing.
title_sort using fish lateral line sensing to improve seismic acquisition and processing.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Bioengineering, which studies the principles and design of biological systems, is a field that has inspired the development of several technologies that are currently in use. In this work, we use concepts from the fish lateral line sensing mechanism and apply them to seismic imaging processing. The lateral line is a sensory system composed of an integrated array of mechanical sensors spanning along the fish body. We compare the array of sensors along body fish with the seismic acquisition, which employs an array of equally spaced identical mechanical sensors to image the Earth's subsurface. In both situations, the mechanical sensors capture and process mechanical vibrations from the environment to produce useful information. We explore the strategy of using the low-pass and high-pass sensors schema of fish lateral line to improve the seismic technique. We use the full-wave inversion method to compare the conventional acquisition procedure of identical sensors with alternative sets of different sensors, which mimics the fish lateral line. Our results show that the alternate sensors arrangement surpasses the performance of the conventional acquisition method, using just half of the input information. The results point at an image processing technique that is computationally more efficient and economical than the usual seismic processing method.
url https://doi.org/10.1371/journal.pone.0213847
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