GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 3.1 GNGTS 2023 Fig. 2 The estimated attributes for the synthetic data set between positions 400 m and 600 m using the floor and ceiling receiver arrays. (a) Energy attributes of floor and ceiling array. (b) and (c) Autospectrum of the ceiling and floor arrays. (d) and (e) Energy decay exponent of the ceiling and floor arrays. (f) and (g) Attenuation coefficient of the ceiling and floor arrays. Fig. 3 Schematic view of a dipping fault crossing the mining tunnel. An illustration of why the attributes from the floor and ceiling receiver arrays depict the faults at different location. Acknowledgements This research is funded by FUTURE project of ERA-NET Cofund on Raw Materials (ERA-MIN3). Computational resources were provided by hpc@polito, which is a project of Academic Computing within the Department of Control and Computer Engineering at the Politecnico di Torino. References Bergamo P. and Socco L.V.; 2014: Detection of sharp lateral discontinuities through the analysis of surface-wave propagation. Geophysics, 79, 77–90 Bohlen T.; 2002: Parallel 3-D viscoelastic finite difference seismic modelling. Computers & Geosciences, 28, 887-899. Bohlen T. and Saenger E.H.; 2006: Accuracy of heterogeneous staggered-grid finite-difference modeling of Rayleigh waves. Geophysics, 71, 109-115 Colombero C., Comina C. and Socco L.V.; 2019: Imaging near-surface sharp lateral variations with surface-wave methods—Part 1: Detection and location. Geophysics, 84, 93-111 Eales H.V. and Cawthorn R.G.; 1996: The Bushveld complex. Developments in Petrology, 15, 181-229 Nasseri-Moghaddam A., Cascante G., and Hutchinson J.; 2005: A new quantitative procedure to determine the location and embedment depth of a void using surface waves. Journal of Environmental and Engineering Geophysics, 10, 51–64.