The PACIFIC symposium and Kallak Workshop will take place on 27-28 October 2021 at the Killian Amphitheater of the Earth Science Institute (ISTerre). ISTerre is located on the campus of the University of Grenoble-Alpes (UGA) in Saint-Martin d’Hères/Gières, France.
It is expected that participants will attend on site but please note that the PACIFIC final events can also be attended online. All participants are invited to register using the link to the dedicated registration platform (below, see URL section). The program and the logistic pack are also available from the registration platform.
Deadline to register: Monday 11th October 2021 at the latest
Funded by the European Commission and coordinated by the Universite Grenoble Alpes, PACIFIC is a research project in the field of mineral exploration. The project aims at developing new exploration techniques that respect the environment and incur relatively low costs. Join us in Grenoble on 27-28 October to find out how the PACIFIC consortium has been conducting fundamental and applied research to develop two radically new and complementary mineral exploration techniques, both based on passive seismic imagery.
The detailed programme and registration platform will soon be available. Stay tuned !
Ambient noise surface wave tomography (ANSWT) is an environmentally friendly and cost-effective technique for subsurface imaging. In this study, we used natural (low-frequency) and anthropogenic (high-frequency) noise sources to map the velocity structure of the Marathon Cu-PGE deposit (Ontario, Canada) to a depth of 1 km. The Marathon deposit is a circular (ø = 25 km) alkaline intrusion comprising gabbros at the rim and an overlying series of syenites in the centre. Cu-PGE mineralisation is hosted by gabbros close to the inward-dipping footwall of the intrusion. The country rocks are Archaean volcanic breccias that are seismically slower than the gabbros, and similar in velocity to the syenites. We used ANSWT to image the footwall contact that controls the location of the mineralisation.
An array of 1024 vertical-component receivers were deployed for 30 days to record ambient noise required for surface wave analysis. Two overlapping grids were used: a 200 m x 6040 m dense array with node spacing of 50 m, and a 2500 m x 4000 m sparse array with node spacing of 150 m. The signal was down-sampled to 50 Hz, divided into segments of 30 minutes, cross-correlated and stacked. Surface wave analysis was conducted over the dense array and the sparse array data. We considered the fundamental mode of Rayleigh wave propagation for our frequency-wavenumber (F-K) analysis and focused on the phase velocity variation in the high-frequency ambient noise signal (up to 22 Hz). We reconstructed the shallow structure with progressively increased resolution using surface wave dispersion curves extracted from receiver arrays divided into segments of variable lengths. Several average dispersion curves were computed from individual dispersion curves belonging to different seismic lines. Each average dispersion curve was inverted to obtain S-wave velocity models using an McMC transdimensional Bayesian approach.
The tomographic images reveal a shallow high-velocity anomaly, which we interpret as being related to the gabbro intrusion that hosts the mineralization. The large-wavelength structures in the S-wave velocity models are relatively consistent with the geological structures inferred from surface mapping and drill core data. These results show that the ANSWT, focused on the high-frequency signal provided by anthropogenic noise sources, is an efficient technique for imaging “shallow" (1 km depth) geological structures in a mineral exploration context.
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