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Ground-penetrating radar GPR attenuation-difference analysiscanbeausefultoolforstudyingfluidtransportinthe subsurface. Surface-based reflection attenuation-difference tomography poses a number of challenges that are not faced by crosshole attenuation surveys. We create and analyze a synthetic attenuation-difference GPR data set to determine methods for processing amplitude changes and inverting for conductivity differences from reflection data sets. Instead of usingatraditionalgrid-basedinversion,weuseadata-driven adaptive-meshing algorithm to alter the model space and to createamoreevendistributionofresolution.Adaptivemeshing provides a method for improving the resolution of the modelspacewhilehonoringthedatalimitationsandimproving the quality of the attenuation difference inversion. Comparinginversionsonaconventionalrectangulargridwiththe adaptive mesh, we find that the adaptively meshed model reduces the inversion computation time by an average of 75% with an improvement in the root mean square error of up to 15%. While the sign of the conductivity change is correctly reproduced by the inversion algorithm, the magnitude varies byasmuchasmuchas50%fromthetruevalues.Ourheterogeneous conductivity model indicates that the attenuation differenceinversionalgorithmeffectivelylocatesconductivity changes, and that surface-based reflection surveys can producemodelsasaccurateastraditionalcrossholesurveys.

Ground-penetrating-radar reflection attenuation tomography with an adaptive mesh