We Are Here To Deliver Innovative Solutions

Our group is composed of internationally recognized experts in noise-based seismic imaging and monitoring.

We have offices in Grenoble (France), Los Angeles (USA) and Hobart (Autralia).

Sisprobe has pioneered and continues to develop the world’s most innovative seismic techniques for noise-based imaging and monitoring. Our passive seismic products and services enable quick and cost-effective surveys.

Sisprobe is the world’s leading provider of subsurface imaging and monitoring using ambient noise surface wave tomography – the most environmentally-friendly method of subsurface seismic imaging. 

Sisprobe has processed passive seismic data for projects and clients worldwide – most recently in France, Netherlands, USA, Canada, and Australia. The method is used in many industries including petroleum, mining, geothermal, geo-engineering, water resources, and geo-hazards.

Sisprobe is a dynamic startup hosted on the campus of University Grenoble-Alpes. Sisprobe’s scientific committee comprises world-renowned researchers at the forefront of developments in the field of passive seismic interferometry.

Nick Arndt
Nick ArndtPresident
Emeritus professor of the Université Grenoble Alpes, specialist of magmatic ore deposits, member of committees that evaluated mineral resources in China and Polynesia, consultant for BHP, VALE and Boliden.
Sophie Beauprêtre
Sophie BeauprêtreResearch Engineer
PhD in geophysics, 5 years experience in O&G industry. Joined Sisprobe in September 2018; specializes in O&G applications.
Malgorzata Chmiel
Malgorzata ChmielResearch Engineer
PhD in seismology from UGA and CGG, a French geoscience consulting company. Joined Sisprobe in August 2017; specialized in treatment of dense passive seismic networks.
Roméo Courbis
Roméo CourbisResearch Engineer
PhD in Computer Science at University Franche-Comté, Post-doc in seismology at University Grenoble Alpes. Joined Sisprobe in September 2018; specializes in treatment of ambient noise data for monitoring and imaging.
Anaïs Lavoué
Anaïs LavouéResearch Engineer
PhD in seismic volcanology at UGA. 2 years experience in the building industry. Specializes in field work, seismic equipment management and treatment of ambient noise data for imaging purpose.
Richard Lynch
Richard LynchChief Operating Officer
PhD in theoretical physics. 20 years experience in the global mining industry working on all aspects of microseismic monitoring, including 7 years as CEO of a mine seismology technology and services company.
Dan Hollis
Dan HollisChief Executive Officer
37 years experience in seismic exploration and numerous collaborations with industry using dense nodal seismic networks. He pioneered use of passive seismic for sub-surface imaging.

Science and Research Advisory Board

Philippe Roux
Philippe RouxReseach Director, CNRS/UGA
An outstanding geophysicist who pioneered research on noise-based seismic imaging; collaborates strongly with industry (e.g. Shell and CGG); received the Medwin Prize in Acoustical Oceanography.
Florent Brenguier
Florent BrenguierProfessor, UGA
Led the development of noise-based seismic imaging and monitoring; published 3 Nature and Science papers. Recipient of Aki young scientist award of the American Geophysical Union.
Aurélien Mordret
Aurélien MordretResearch associate, UGA
Developed applications of noise-based seismic imaging using a dense industrial seismic network; published 5 papers in major geophysical journals. Extensive experience in the Oil & Gas industry and contacts with major players in the sector.
Michel Campillo
Michel CampilloProfessor, UGA
Internationally recognized for pioneering research on noise-based seismic imaging and monitoring; published 5 Science and Nature papers; received Gutenberg Medal of European Geosciences Union and Gutenberg Lecturership of American Geophysical Union.
Pierre Boué
Pierre BouéAssistant prof, UGA
Expert in ambient noise and seismic array processing; explored noise-based methodology looking for new observables and measurements; published several papers on body-wave extraction and imaging using noise correlations.