We fully master the complex and very technical data processing used to obtain images of the subsurface from seismic noise records.
It moreover requires a high storage space (> 10 TB) and computational power (> 100 CPUs).
This work is handled by PhD scientists that have been trained by the most recognized academic institutions worldwide.
Noise data processing to obtain tomographic images of the subsurface,
Ambient noise-based time-lapse monitoring of the studied target,
Final images use on surface wave and/or body-wave tomographic inversions from noise-based reconstructed virtual seismic sources,
Use of natural seismic sources (earthquakes) for imaging and other subsurface properties (velocities, etc.),