Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice
Rapid spill detection and mapping are needed with increasing levels of oil exploration and production in the Arctic. Previous work has found that ground-penetrating radar (GPR) is effective for qualitative identification of oil spills under, and encapsulated within, sea ice. Quantifying the spill di...
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ftboisestateu:oai:scholarworks.boisestate.edu:geo_facpubs-1269 2023-10-29T02:34:28+01:00 Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice Bradford, John H. Babcock, Esther L. Marshall, Hans-Peter Dickins, David F. 2016-01-01T08:00:00Z application/pdf https://scholarworks.boisestate.edu/geo_facpubs/269 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1269/viewcontent/Bradford___Targeted_Reflection_Waveform.pdf unknown ScholarWorks https://scholarworks.boisestate.edu/geo_facpubs/269 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1269/viewcontent/Bradford___Targeted_Reflection_Waveform.pdf This document was originally published by the Society of Exploration Geophysicists in Geophysics . Copyright restrictions may apply. doi: 10.1190/geo2015-0170 Geosciences Faculty Publications and Presentations ground-penetrating radar (GPR) inversion environmental near surface attributes Earth Sciences Geophysics and Seismology text 2016 ftboisestateu 2023-09-29T15:13:58Z Rapid spill detection and mapping are needed with increasing levels of oil exploration and production in the Arctic. Previous work has found that ground-penetrating radar (GPR) is effective for qualitative identification of oil spills under, and encapsulated within, sea ice. Quantifying the spill distribution will aid effective spill response. To this end, we have developed a targeted GPR reflection-waveform inversion algorithm to quantify the geometry of oil spills under and within sea ice. With known electric properties of the ice and oil, we have inverted for oil thickness and variations in ice thickness. We have tested the algorithm with data collected during a controlled spill experiment using 500-MHz radar reflection data. The algorithm simultaneously recovered the thickness of a 5-cm-thick oil layer at the base of the ice to within 8% of the control value, estimated the thickness of a 1-cm-thick oil layer encapsulated within the ice to within 30% of the control value, and accurately mapped centimeter-scale variations in ice thickness. Text Arctic Sea ice Boise State University: Scholar Works |
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Open Polar |
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Boise State University: Scholar Works |
op_collection_id |
ftboisestateu |
language |
unknown |
topic |
ground-penetrating radar (GPR) inversion environmental near surface attributes Earth Sciences Geophysics and Seismology |
spellingShingle |
ground-penetrating radar (GPR) inversion environmental near surface attributes Earth Sciences Geophysics and Seismology Bradford, John H. Babcock, Esther L. Marshall, Hans-Peter Dickins, David F. Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
topic_facet |
ground-penetrating radar (GPR) inversion environmental near surface attributes Earth Sciences Geophysics and Seismology |
description |
Rapid spill detection and mapping are needed with increasing levels of oil exploration and production in the Arctic. Previous work has found that ground-penetrating radar (GPR) is effective for qualitative identification of oil spills under, and encapsulated within, sea ice. Quantifying the spill distribution will aid effective spill response. To this end, we have developed a targeted GPR reflection-waveform inversion algorithm to quantify the geometry of oil spills under and within sea ice. With known electric properties of the ice and oil, we have inverted for oil thickness and variations in ice thickness. We have tested the algorithm with data collected during a controlled spill experiment using 500-MHz radar reflection data. The algorithm simultaneously recovered the thickness of a 5-cm-thick oil layer at the base of the ice to within 8% of the control value, estimated the thickness of a 1-cm-thick oil layer encapsulated within the ice to within 30% of the control value, and accurately mapped centimeter-scale variations in ice thickness. |
format |
Text |
author |
Bradford, John H. Babcock, Esther L. Marshall, Hans-Peter Dickins, David F. |
author_facet |
Bradford, John H. Babcock, Esther L. Marshall, Hans-Peter Dickins, David F. |
author_sort |
Bradford, John H. |
title |
Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
title_short |
Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
title_full |
Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
title_fullStr |
Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
title_full_unstemmed |
Targeted Reflection-Waveform Inversion of Experimental Ground-Penetrating Radar Data for Quantification of Oil Spills Under Sea Ice |
title_sort |
targeted reflection-waveform inversion of experimental ground-penetrating radar data for quantification of oil spills under sea ice |
publisher |
ScholarWorks |
publishDate |
2016 |
url |
https://scholarworks.boisestate.edu/geo_facpubs/269 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1269/viewcontent/Bradford___Targeted_Reflection_Waveform.pdf |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Geosciences Faculty Publications and Presentations |
op_relation |
https://scholarworks.boisestate.edu/geo_facpubs/269 https://scholarworks.boisestate.edu/context/geo_facpubs/article/1269/viewcontent/Bradford___Targeted_Reflection_Waveform.pdf |
op_rights |
This document was originally published by the Society of Exploration Geophysicists in Geophysics . Copyright restrictions may apply. doi: 10.1190/geo2015-0170 |
_version_ |
1781057072257826816 |