Development of a workflow for processing ground-penetrating radar data from multiconcurrent receivers

Ground-penetrating radar (GPR) systems with multiconcurrent sampling receivers can rapidly acquire dense multioffset GPR data, which are not feasible using typical common-offset (CO) a single fixed offset transmitter-receiver pair. Multioffset data from these new receiver have the potential to be used create detailed subsurface velocity models and enhanced reflection sections. These important features that improve qualitative quantitative interpretation of data. To realize benefits deal large amount generated by systems, we developed an automated customized processing workflow. There three key algorithms as part our workflow, is crucial for volume, so as: first, efficiently correct manage time misalignments receivers; second, carry out trace balancing common-midpoint semblance analysis; third, automate analysis step. We showcase workflow two field sets acquired system consisting one transmitter seven receivers. The were collected at different locations: site 500 MHz center frequency another 1000 frequency. determined, both sets, could produce stacking fields zero-offset cross increase information (compared conventional CO data) form basis further steps such migration. As cost decreases over time, anticipate their use, acquisition become much more commonplace.