Conductivity and Scattering Q in GPR Data: Example from the Ellenburger Dolomite, Central Texas

dc.contributor.authorHarbi, H.en_US
dc.contributor.authorMcMechan, George A.en_US
dc.contributor.utdAuthorMcMechan, George A.en_US
dc.date.accessioned2014-02-27T23:43:38Z
dc.date.available2014-02-27T23:43:38Z
dc.date.created2012-06-27en_US
dc.date.issued2012-06-27en_US
dc.description.abstractTotal attenuation (Qt -1) in ground-penetrating radar (GPR) data is a composite of intrinsic and scattering attenuations (Qin -1 and Qsc -1). For nonmagnetic materials, Qin -1 is a combination of the effects of real conductivity and dielectric relaxation. The attenuation for real conductivity >1.0 mS/m in the GPR frequency band is a function of frequency while the dielectric relaxation is frequency-independent. These frequency behaviors allow separation of the attenuation types by attributing and fitting the Qt -1 decay shape with frequency to the conductivity, and by attributing the magnitude of Qt -1 to the sum of conductivity and dielectric relaxation attenuations at each frequency. Total attenuation is calculated from GPR data using spectral ratios, and Qin -1 is obtained by fitting a smooth lower bound to Qt -1; the difference between Qt -1 and Qin -1 estimates the scattering contribution Qsc -1. Scatterer size spectra are evaluated using KA=1 for 2D, and KA=1.5 for 3D, propagation (where K is wavenumber and A is the scatterer size). We illustrate with 2D synthetic data and three field 2D crosshole profiles from an outcrop of an Ellenburger collapsed paleocave environment in central Texas. Between the three pairs of holes, we estimate the breccia sizes from the scattering spectra Qsc -1. To image the anisotropic electrical conductivity distributions, we use simultaneous iterative reconstruction tomography. There is a correlation between the low wavenumber features of the results of the current conductivity tomography and those in previous velocity tomography, and with surface data results that are predicted and calculated from GPR data attributes. Low- and high-conductivity zones tend to follow either the GPR facies distributions, lithological boundaries, or the larger of the fractures. Correlations are not visible where the breccias are finer because these tend to be more randomly oriented, and/or below the resolution of the GPR data. © 2012 Society of Exploration Geophysicists.en_US
dc.identifier.bibliographicCitationHarbi, H., and G. A. McMechan. 2012. "Conductivity and scattering Q in GPR data: example from the Ellenburger dolomite, central Texas." Geophysics 77(4): H63-H78.en_US
dc.identifier.issn0016-8033en_US
dc.identifier.issue4en_US
dc.identifier.startpageH63en_US
dc.identifier.urihttp://hdl.handle.net/10735.1/3121
dc.identifier.volume77en_US
dc.relation.urihttp://dx.doi.org/10.1190/geo2011-0337.1
dc.sourceGeophysics
dc.subjectAttenuation (Physics)en_US
dc.subjectGround penetrating radaren_US
dc.subjectScattering (Physics)en_US
dc.subjectTomographyen_US
dc.titleConductivity and Scattering Q in GPR Data: Example from the Ellenburger Dolomite, Central Texasen_US
dc.typeTexten_US
dc.type.genreArticleen_US

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