Noise-based ballistic wave passive seismic monitoring – Part 2: surface waves

Author:

Mordret Aurélien12ORCID,Courbis Roméo23,Brenguier Florent2ORCID,Chmiel Małgorzata23,Garambois Stéphane2ORCID,Mao Shujuan12ORCID,Boué Pierre2,Campman Xander4,Lecocq Thomas5,Van der Veen Wim6,Hollis Dan3

Affiliation:

1. Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA

2. Université Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, UMR 5275, 38000 Grenoble, France

3. Sisprobe, Meylan, 38240, France

4. Shell Global Solutions International BV, Amsterdam, the Netherlands

5. Royal Observatory of Belgium - Seismology, Avenue Circulaire, 3, BE-1180 Brussels, Belgium

6. Nederlandse Aardolie Maatschappij, 9405 TA Assen, The Netherlands

Abstract

SUMMARY We develop a new method to monitor and locate seismic velocity changes in the subsurface using seismic noise interferometry. Contrary to most ambient noise monitoring techniques, we use the ballistic Rayleigh waves computed from 30 d records on a dense nodal array located above the Groningen gas field (the Netherlands), instead of their coda waves. We infer the daily relative phase velocity dispersion changes as a function of frequency and propagation distance with a cross-wavelet transform processing. Assuming a 1-D velocity change within the medium, the induced ballistic Rayleigh wave phase shift exhibits a linear trend as a function of the propagation distance. Measuring this trend for the fundamental mode and the first overtone of the Rayleigh waves for frequencies between 0.5 and 1.1 Hz enables us to invert for shear wave daily velocity changes in the first 1.5 km of the subsurface. The observed deep velocity changes (±1.5 per cent) are difficult to interpret given the environmental factors information available. Most of the observed shallow changes seem associated with effective pressure variations. We observe a reduction of shear wave velocity (–0.2 per cent) at the time of a large rain event accompanied by a strong decrease in atmospheric pressure loading, followed by a migration at depth of the velocity decrease. Combined with P-wave velocity changes observations from a companion paper, we interpret the changes as caused by the diffusion of effective pressure variations at depth. As a new method, noise-based ballistic wave passive monitoring could be used on several dynamic (hydro-)geological targets and in particular, it could be used to estimate hydrological parameters such as the hydraulic conductivity and diffusivity.

Funder

National Science Foundation

European Research Council

Publisher

Oxford University Press (OUP)

Subject

Geochemistry and Petrology,Geophysics

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