A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet

Abstract We have estimated a 1-D permittivity model from a 100m long variable offset GPR in the West Antarctic ice sheet. That model inherits the inaccuracies in depth from the velocity model, which should be corrected before attempting to correlate it with the density log from a close-by borehole. We performed that correction by aligning a synthetic ice density derived from a Maxwell Garnett two-phase mixture model to the ice core density measurements through dynamic time warping. The shifts to bring the permittivity estimates to their proper depths suggest a direct correlation of radar-derived data to borehole depths may suffer from noise to an unknown degree. The present methodology is within reach of a standard GPR survey, having at least one variable offset gather.

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Main Authors: TRAVASSOS,JANDYR M., MARTINS,SAULO S., SIMÕES,JEFFERSON C.
Format: Digital revista
Language:English
Published: Academia Brasileira de Ciências 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000201122
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spelling oai:scielo:S0001-376520220002011222022-05-26A firn dielectric log depth-tied to an ice core on the West Antarctica Ice SheetTRAVASSOS,JANDYR M.MARTINS,SAULO S.SIMÕES,JEFFERSON C. ice core GPR velocity model dielectric property well logging Abstract We have estimated a 1-D permittivity model from a 100m long variable offset GPR in the West Antarctic ice sheet. That model inherits the inaccuracies in depth from the velocity model, which should be corrected before attempting to correlate it with the density log from a close-by borehole. We performed that correction by aligning a synthetic ice density derived from a Maxwell Garnett two-phase mixture model to the ice core density measurements through dynamic time warping. The shifts to bring the permittivity estimates to their proper depths suggest a direct correlation of radar-derived data to borehole depths may suffer from noise to an unknown degree. The present methodology is within reach of a standard GPR survey, having at least one variable offset gather.info:eu-repo/semantics/openAccessAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências v.94 suppl.1 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000201122en10.1590/0001-3765202220210815
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libraryname SciELO
language English
format Digital
author TRAVASSOS,JANDYR M.
MARTINS,SAULO S.
SIMÕES,JEFFERSON C.
spellingShingle TRAVASSOS,JANDYR M.
MARTINS,SAULO S.
SIMÕES,JEFFERSON C.
A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
author_facet TRAVASSOS,JANDYR M.
MARTINS,SAULO S.
SIMÕES,JEFFERSON C.
author_sort TRAVASSOS,JANDYR M.
title A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
title_short A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
title_full A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
title_fullStr A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
title_full_unstemmed A firn dielectric log depth-tied to an ice core on the West Antarctica Ice Sheet
title_sort firn dielectric log depth-tied to an ice core on the west antarctica ice sheet
description Abstract We have estimated a 1-D permittivity model from a 100m long variable offset GPR in the West Antarctic ice sheet. That model inherits the inaccuracies in depth from the velocity model, which should be corrected before attempting to correlate it with the density log from a close-by borehole. We performed that correction by aligning a synthetic ice density derived from a Maxwell Garnett two-phase mixture model to the ice core density measurements through dynamic time warping. The shifts to bring the permittivity estimates to their proper depths suggest a direct correlation of radar-derived data to borehole depths may suffer from noise to an unknown degree. The present methodology is within reach of a standard GPR survey, having at least one variable offset gather.
publisher Academia Brasileira de Ciências
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000201122
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