SISPROBE offers state-of-the-art, source-free, noise-based multi-component 3D seismic imaging solutions for global applications: fast, inexpensive, efficient. Quick results using naturally occurring ambient seismic signals in the earth. Huge bottom line impact.

Surface wave ambient noise seismology:

  • avoids the need for costly and environmentally harmful active seismic sources
  • obtains results rapidly
  • reduces the need for expensive drilling
  • allows surveys to be conducted in sensitive urban areas and in protected nature reserves

SISPROBE offers a full range of solutions to challenges in seismic survey design, seismic data acquisition, processing and interpretation, exploration, exploitation, mine safety, seismic risk, environmental impact, long-term monitoring and many other applications.



The basic principles of surface wave ambient noise seismology have been known for decades; a seismic signal is recorded by adjacent seismometers; the difference between the two recordings provides information about the intervening underlying rock.


Tomography. Sisprobe has developed techniques, workflows and codes to treat massive amounts of data recorded by large surface arrays (100 to >2000 sensors). This produces high-resolution tomographic images of the subsurface.


Monitoring. By recording continuously for weeks or months, or by making regular measurements, changes in sub-surface structure are registered. This allows Sisprobe to monitor evolution of oil or gas reservoirs, or changes during excavation of structures in urban settings (e.g. metro tunnels)


The technique has been successfully applied for imaging the crust (Shapiro et al. 2005), volcanoes (Brenguier et al. 2007) and fault zones (Roux et al. 2011).

It also allows imaging and monitoring the subsurface for industrial applications including oil & gas (Mordret et al. 2013) mine safety and mineral exploration (Olivier et al. 2015a,b).

A paper in Science describes the boom in passive source seismology.


Brenguier, F., N. M. Shapiro, M. Campillo, A. Nercessian, and V.Ferrazzini (2007), 3-D surface wave tomography of the Piton de la Fournaise volcano using seismic noise correlations, Geophys. Res. Lett., 34, L02305, doi:10.1029/2006GL028586.

Mordret, A., N. M. Shapiro, S. Singh, P. Roux, and O. I. Barkved, 2013. Helmholtz Tomography of ambient noise surface wave data to estimate Scholte wave phase velocity at Valhall Life of the Field, Geophysics, 78(2), WA99–WA109. doi: 10.1190/geo2012-0303.1

Olivier. G., F. Brenguier., M. Campillo., R. Lynch, P. Roux,Body-wave reconstruction from ambient seismic noise correlations in an underground mine (2015), Geophysics.

Roux, P., Antoine Roueff and Marc Wathelet, The San Andreas Fault revisited through seismic-noise and surface-wave tomography, Geophys. Res. Lett., 38, L13319, July 2011.

Shapiro N.M., and M. Campillo (2004), Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise, Geophys. Res. Letters, VOL. 31, L07614, doi:10.1029/2004GL019491, 2004.

Shapiro, NM, M. Campillo, L. Stehly and M. Ritzwoller (2005), High Resolution Surface-Wave Tomography from Ambient Seismic Noise, Science, 307, 1615-1618.

Olivier. G., F. Brenguier, M. Campillo, P. Roux, N. M. Shapiro, R. Lynch, Investigation of co- and post-seismic processes with in-situ measurements of seismic velocity variations in an underground mine (2015), Geophys. Res. Letters.