Frequency stepping full-waveform inversion of reflection GPR data

PreviousNext No Access18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020Frequency stepping full-waveform inversion of reflection GPR dataAuthors: Adam R. MangelJohn H. BradfordAdam R. MangelPacific Northwest National Laboratory, United StatesSearch for more papers by this author and John H. BradfordColorado School of Mines, United StatesSearch for more papers by this authorhttps://doi.org/10.1190/gpr2020-099.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Surface-based ground-penetrating radar (GPR) is a commonly used electromagnetic tool for imaging the upper 10 meters of the subsurface. Recent studies have shown that GPR can be used to create hydrogeophysical data sets at multiple scales in time and space, which help to non-invasively understand complex hydrologic systems (Mangel, Moysey et al. 2020). GPR has seen significant use in studying near-surface hydrology given the ability of the instrument to map geologic structure and the sensitivity of electromagnetic wave velocity to soil moisture (Klotzsche, Jonard et al. 2018). Several methods are available to resolve the velocity field from the multi-offset data, which enables the estimation of volumetric water content; however, many approaches result in spatially smooth models which are less than ideal for hydrogeologic investigations (Bradford 2008). Full-waveform inversion (FWI) is a novel technique able to improve resolution of the property fields compared to ray-based methods, offering a path forward for resolving complex hydrogeologic systems with surface-based GPR data. Keywords: GPR, full-waveform inversion, algorithm, reflection, conductivityPermalink: https://doi.org/10.1190/gpr2020-099.1FiguresReferencesRelatedDetails 18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020ISSN (online):2159-6832Copyright: 2020 Pages: 455 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Nov 2020 CITATION INFORMATION Adam R. Mangel and John H. Bradford, (2020), "Frequency stepping full-waveform inversion of reflection GPR data," SEG Global Meeting Abstracts : 380-383. https://doi.org/10.1190/gpr2020-099.1 Plain-Language Summary KeywordsGPRfull-waveform inversionalgorithmreflectionconductivityPDF DownloadLoading ...