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Inference of multi-Gaussian relative permittivity fields by probabilistic inversion of crosshole ground-penetrating radar data
Long-Term Soil Structure Observatory for Monitoring Post-Compaction Evolution of Soil Structure
Structure-coupled joint inversion of geophysical and hydrological data
Distributed Soil Moisture from Crosshole Ground-Penetrating Radar Travel Times using Stochastic Inversion
Imaging and quantifying salt-tracer transport in a riparian groundwater system by means of 3D ERT monitoring
Estimating traveltimes and groundwater flow patterns using 3D time-lapse crosshole ERT imaging of electrical resistivity fluctuations induced by infiltrating river water
3D crosshole ERT for aquifer characterization and monitoring of infiltrating river water
Zonation for 3D aquifer characterization based on joint inversions of multimethod crosshole geophysical data
The borehole-fluid effect in electrical resistivity imaging
Abstract Joint inversion of crosshole ground-penetrating radar and seismic data can improve model resolution and fidelity of the resultant individual models. Model coupling obtained by minimizing or penalizing some measure of structural dissimilarity between models appears to be the most versatile approach because only weak assumptions about petrophysical relationships are required. Nevertheless, experimental results and petrophysical arguments suggest that when porosity variations are weak in saturated unconsolidated environments, then radar wave speed is approximately linearly related to seismic wave speed. Under such circumstances, model coupling also can be achieved by incorporating cross-covariances in the model regularization. In two case studies, structural similarity is imposed by penalizing models for which the model cross-gradients are nonzero. A first case study demonstrates improvements in model resolution by comparing the resulting models with borehole information, whereas a second case study uses point-spread functions. Although radar seismic wave-speed crossplots are very similar for the two case studies, the models plot in different portions of the graph, suggesting variances in porosity. Both examples display a close, quasilinear relationship between radar seismic wave speed in unconsolidated environments that is described rather well by the corresponding lower Hashin-Shtrikman (HS) bounds. Combining crossplots of the joint inversion models with HS bounds can constrain porosity and pore structure better than individual inversion results can.