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

Surface wave ambient noise seismology:

  • avoids the need for costly and environmentally harmful active seismic sources
  • 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 in month-long surveys 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) and monitoring fault zones (Brenguier et al. 2019a).

It also allows imaging and monitoring the subsurface for industrial applications including oil & gas (Chmiel et al, 2019; Brenguier et al, 2019b) mine safety (Olivier et al. 2015) and mineral exploration (Dales et al, 2020)

References

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

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.

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

Mordret, A., Courbis, R., Brenguier, F., Chmiel, M., Garambois, S., Mao, S., Boué, P., Campman, X., Lecocq, T., Van der Veen, W., Postif, S. and Hollis, D. (2020). Noise-based Ballistic Wave Passive Seismic Monitoring – Part 2: Surface-waves. Geophysical Journal International. Volume 221, Issue 1, April 2020, Pages 692–705,

Chmiel, M., Mordret, A., Boué, P., Brenguier, F., Lecocq, T., Courbis, R., Hollis, D, Campman, X., Romijn, R. and Van der Veen, W. (2019). Ambient noise multimode Rayleigh and Love wave tomography to determine the shear velocity structure above the Groningen gas field, Geophys. J. Int.

Brenguier, F., Boué, P., Ben‐Zion, Y., Vernon, F., Johnson, C. W., Mordret, A., Coutant, O., Share, P.-E., Beaucé, E., Hollis, D. and Lecocq, T. (2019a). Train traffic as a powerful noise source for monitoring active faults with seismic interferometry. Geophysical Research Letters, 46. (papier libre accès)

Brenguier, F., Courbis, R., Mordret, A., Campman, X., Boué, P., Chmiel, M., Takano, T., Lecocq, T., Van der Veen, W., Postif, S. and Hollis, D. (2019b). Noise-based Ballistic Wave Passive Seismic Monitoring – Part 1: Body-waves. Geophysical Journal International. Volume 221, Issue 1, April 2020, Pages 683–691,(papier libre accès)

Philippe Dales, Laura Pinzon-Ricon, Florent Brenguier, Pierre Boué, Nick Arndt, John McBride, François Lavoué, Christopher J. Bean, Sophie Beaupretre, Rosemary Fayjaloun, Gerrit Olivier. (2020).Virtual Sources of Body Waves from Noise Correlations in a Mineral Exploration Context