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Conditional stochastic inversion of common offset ground-penetrating radar reflection data

Xu Zhiwei, James Irving, Liu Yu, Zhu Peimin and Klaus Holliger
Conditional stochastic inversion of common offset ground-penetrating radar reflection data
Geophysics (September 2021) 86 (5): WB89-WB99

Abstract

We have developed a stochastic inversion procedure for common-offset ground-penetrating radar (GPR) reflection measurements. Stochastic realizations of subsurface properties that offer an acceptable fit to GPR data are generated via simulated annealing optimization. The realizations are conditioned to borehole porosity measurements available along the GPR profile or equivalent measurements of another petrophysical property that can be related to the dielectric permittivity, as well as to geostatistical parameters derived from the borehole logs and the processed GPR image. Validation of our inversion procedure is performed on a pertinent synthetic data set and indicates that our method is capable of reliably recovering strongly heterogeneous porosity structures associated with surficial alluvial aquifers. This finding is largely corroborated through application of the methodology to field measurements from the Boise Hydrogeophysical Research Site near Boise, Idaho, USA.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 86
Serial Issue: 5
Title: Conditional stochastic inversion of common offset ground-penetrating radar reflection data
Affiliation: China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan, China
Pages: WB89-WB99
Published: 202109
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 67
Accession Number: 2021-074975
Categories: HydrogeologyApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
N43°37'60" - N43°37'60", W116°12'00" - W116°12'00"
Secondary Affiliation: University of Lausanne, Institute of Earth Sciences, Lausanne, CHE, Switzerland
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 202152
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