Electrical anisotropy in sea ice and a dual-polarization radar system to mitigate the effects of preferential attenuation in imaging sea ice

Babcock, Esther; Bradford, John H.; Hall, Christopher D.

doi:10.1016/j.coldregions.2015.06.012

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Geophysical methods help us better understand fracture induced azimuthal anisotropy, specifically, 2D seismic refraction, and ER methods (Yeboah-Forson and Whitman, 2014;Busby, 2000;Zhu et al, 2012;Holbrook et al, 2014;Befus et al, 2011;Babcock et al, 2015;Greenhalgh et al, 2009;Matias, 2002;Li and Uren, 1997). Fracture presence introduces seismic azimuthal anisotropy (Tsvankin and Grechka, 2011;Lynn and Michelena, 2011;Burns et al, 2007;Crampin, 1985), and electrical azimuthal anisotropy (Berryman and Hoversten, 2013;Greenhalgh et al, 2010;Yeboah-Forson and Whitman, 2014;Taylor and Fleming, 1989).…”

Section: Importancementioning

confidence: 99%

Seismic Refraction and Electrical Resistivity Tests for Fracture Induced Anisotropy in a Mountain Watershed

Mendieta¹

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Section: Importancementioning

confidence: 99%

Seismic Refraction and Electrical Resistivity Tests for Fracture Induced Anisotropy in a Mountain Watershed

Mendieta¹

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Targeted reflection-waveform inversion of experimental ground-penetrating radar data for quantification of oil spills under sea ice

Bradford

Babcock²,

Marshall

et al. 2016

GEOPHYSICS

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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.

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Multi-frequency GPR data fusion for near-surface geophysical survey

Zhao

2021

Sixth International Conference on Engineering Geophysics, Virtual, 25–28 October 2021

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Electrical anisotropy in sea ice and a dual-polarization radar system to mitigate the effects of preferential attenuation in imaging sea ice

Cited by 3 publications

References 26 publications

Seismic Refraction and Electrical Resistivity Tests for Fracture Induced Anisotropy in a Mountain Watershed

Seismic Refraction and Electrical Resistivity Tests for Fracture Induced Anisotropy in a Mountain Watershed

Targeted reflection-waveform inversion of experimental ground-penetrating radar data for quantification of oil spills under sea ice

Multi-frequency GPR data fusion for near-surface geophysical survey

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