GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 3.1 GNGTS 2023 Conclusions Surface wave attributes have been proven to be useful in detecting and locating lateral anomalies in on-surface seismic surveys. Here, we showed that the same attributes can be applied to in-mine seismic data not only to quickly identify the presence of faults crossing the tunnel but also to potentially predict their dip. The attributes can be applied directly to raw data and show good potential for fast and reliable screening of the tunnel walls. Nevertheless, more synthetic tests with different noise levels and real tests will be performed to evaluate the efficiency of the method in complex structural and geological environments. In future works, we also aim at analyzing, discriminating, and inverting the dispersion curves of the tunnel surface wave and guided wave to obtain the S-wave and P-wave velocity models in the proximity of the tunnel, for a comprehensive characterization of the materials in support to mining exploration. Fig. 1 Slices of the S-wave velocity of the 3D synthetic model. (a) x-depth plane at y = 250 m. (b) x-y plane at depth = 250 m. The yellow layers represent the EDZ. (c) Snapshot of the wave propagation on the x-depth plane at y=250 m and time equal to 270.5 ms. (d) Vertical component of the recorded data on the tunnel floor array. Plots c and d are from the shot located at X= 40 m.