Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods
Ground penetrating radar (GPR) and seismic reflection methods are useful geophysical tools for near-surface characterization. Analysis of radar or seismic reflection data can combine velocity analysis with common physical transformations to provide subsurface physical properties such as subsurface p...
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ftboisestateu:oai:scholarworks.boisestate.edu:td-1861 2023-10-29T02:34:44+01:00 Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods Babcock, Esther 2014-05-01T07:00:00Z application/pdf https://scholarworks.boisestate.edu/td/817 https://scholarworks.boisestate.edu/context/td/article/1861/viewcontent/Babcock_Esther_dissertation_Final_May_2014.pdf unknown ScholarWorks https://scholarworks.boisestate.edu/td/817 https://scholarworks.boisestate.edu/context/td/article/1861/viewcontent/Babcock_Esther_dissertation_Final_May_2014.pdf Boise State University Theses and Dissertations ground-penetrating radar thin layers seismic methods full-waveform inversion anisotropy reflectivity Geophysics and Seismology text 2014 ftboisestateu 2023-09-29T15:11:54Z Ground penetrating radar (GPR) and seismic reflection methods are useful geophysical tools for near-surface characterization. Analysis of radar or seismic reflection data can combine velocity analysis with common physical transformations to provide subsurface physical properties such as subsurface porosity, density, and contaminant locations. However, reliable quantitative characterization of thin subsurface layers may be impossible using standard reflection data processing techniques, e.g. velocity analysis, if the layer thickness is below the conventional resolution limits of the data. The limiting layer thickness for layer resolution may be up to ½ or even ¾ of the dominant wavelength (λ) of the signal in the medium of interest. This limitation often depends on data noise levels and source characteristics. In many environmental problems, target layers may be below this layer thickness and accurate determination of layer properties becomes problematic. In order to reliably quantify thin-layer parameters in these cases, geophysical practitioners require additional tools such as attribute analyses and inversion methodologies. Full-waveform inversions may be able to quantify layer parameters even in the case of thin (< ½λ) and ultra-thin (< ⅛λ) layers by inverting directly for thin-layer properties. Therefore, I provide a targeted full-waveform inversion algorithm to quantify thin- and ultra-thin layer parameters for multiple relevant environmental problems including oil in and under sea ice and basal conditions of glaciers. I demonstrate the efficacy of this approach on model and field data collected using radar and seismic reflection methods. These methods depend on surface records of reflection information from subsurface interfaces and may fail if reflections are obscured or attenuated in the subsurface. Therefore, I demonstrate that a new dual-polarization system can mitigate the effects of the overburden anisotropy and conductivity attenuation on radar data collected in Arctic conditions. Combining my ... Text Arctic Sea ice Boise State University: Scholar Works |
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Boise State University: Scholar Works |
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ftboisestateu |
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topic |
ground-penetrating radar thin layers seismic methods full-waveform inversion anisotropy reflectivity Geophysics and Seismology |
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ground-penetrating radar thin layers seismic methods full-waveform inversion anisotropy reflectivity Geophysics and Seismology Babcock, Esther Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
topic_facet |
ground-penetrating radar thin layers seismic methods full-waveform inversion anisotropy reflectivity Geophysics and Seismology |
description |
Ground penetrating radar (GPR) and seismic reflection methods are useful geophysical tools for near-surface characterization. Analysis of radar or seismic reflection data can combine velocity analysis with common physical transformations to provide subsurface physical properties such as subsurface porosity, density, and contaminant locations. However, reliable quantitative characterization of thin subsurface layers may be impossible using standard reflection data processing techniques, e.g. velocity analysis, if the layer thickness is below the conventional resolution limits of the data. The limiting layer thickness for layer resolution may be up to ½ or even ¾ of the dominant wavelength (λ) of the signal in the medium of interest. This limitation often depends on data noise levels and source characteristics. In many environmental problems, target layers may be below this layer thickness and accurate determination of layer properties becomes problematic. In order to reliably quantify thin-layer parameters in these cases, geophysical practitioners require additional tools such as attribute analyses and inversion methodologies. Full-waveform inversions may be able to quantify layer parameters even in the case of thin (< ½λ) and ultra-thin (< ⅛λ) layers by inverting directly for thin-layer properties. Therefore, I provide a targeted full-waveform inversion algorithm to quantify thin- and ultra-thin layer parameters for multiple relevant environmental problems including oil in and under sea ice and basal conditions of glaciers. I demonstrate the efficacy of this approach on model and field data collected using radar and seismic reflection methods. These methods depend on surface records of reflection information from subsurface interfaces and may fail if reflections are obscured or attenuated in the subsurface. Therefore, I demonstrate that a new dual-polarization system can mitigate the effects of the overburden anisotropy and conductivity attenuation on radar data collected in Arctic conditions. Combining my ... |
format |
Text |
author |
Babcock, Esther |
author_facet |
Babcock, Esther |
author_sort |
Babcock, Esther |
title |
Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
title_short |
Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
title_full |
Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
title_fullStr |
Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
title_full_unstemmed |
Targeted Full-Waveform Inversion for Recovering Thin- and Ultra-Thin-Layer Properties Using Radar and Seismic Reflection Methods |
title_sort |
targeted full-waveform inversion for recovering thin- and ultra-thin-layer properties using radar and seismic reflection methods |
publisher |
ScholarWorks |
publishDate |
2014 |
url |
https://scholarworks.boisestate.edu/td/817 https://scholarworks.boisestate.edu/context/td/article/1861/viewcontent/Babcock_Esther_dissertation_Final_May_2014.pdf |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Boise State University Theses and Dissertations |
op_relation |
https://scholarworks.boisestate.edu/td/817 https://scholarworks.boisestate.edu/context/td/article/1861/viewcontent/Babcock_Esther_dissertation_Final_May_2014.pdf |
_version_ |
1781057441893449728 |