GNGTS 2019 - Atti del 38° Convegno Nazionale

GNGTS 2019 S essione 3.2 699 plotted in green in Fig. 3d. Comparison with the statics obtained directly by the true V P model (orange in Fig. 3d), shows that, neglecting the low-coverage areas (black dashed lines in Fig. 3d), the static shift values are similar, with a maximum difference of 6 %, at the position of the discontinuity (60 m). Conclusions. We have shown, using a synthetic example, that SW tomography coupled with the W/D method leads to an accurate estimation of the P-wave statics, even at laterally variable sites. It is, therefore, an effective method to obtain the statics at mining exploration sites, which are usually characterized by high near-surface variability. The method is based only on exploration data, and therefore is cost-effective and suitable for industrial applications. Acknowledgements. Smart Exploration has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 775971. References Boiero, D; 2009: Surface Wave Analysis for Building Shear Wave Velocity Models. Ph.D. Thesis, Politecnico di Torino. Eaton, D.W., Milkereit, B. and Salisbury, M.H; 2003: Hardrock seismic exploration: mature technologies adapted to new exploration targets: Hardrock Seismic Exploration (eds. Eaton D.W., Milkereit B. and Salisbury M.H.), pp. 1−6, SEG. Foti S., Lai, C.G., Rix, G.J. and Strobbia, C; 2014: Surface Wave Methods for Near-Surface Site Characterization. CRC Press. Hollis, D., McBride, J., Good, D., Arndt, N., Brenguier, F. and Olivier G; 2018: Use of Ambient Noise Surface Wave Tomography in Mineral Resource Exploration and Evaluation., SEG Technical Program, Anaheim, USA, Expanded Abstracts, 1937-1940. Malehmir, A., Durrheim, R., Bellefleur, G., Urosevic, M., Juhlin, C., White, D.J., Milkereit, B. and Campbel,l G; 2012: Seismic methods in mineral exploration and mine planning: A general overview of past and present 520 case histories and a look into the future., Geophysics 77 (5), WC173-WC190. Park, C. B., Miller, R. D. and Xia, J; 1998: Imaging dispersion curves of surface waves on multi-channel record. SEG Technical Program Expanded Abstracts , 1377-1380. Socco, L.V. and Boiero, D; 2008: Improved Monte Carlo inversion of surface wave data, Geophysical Prospecting, 56, 357-371. Socco, L. and Comina, C; 2017: Time-average velocity estimation through surface-wave analysis: Part 2 - P-wave velocity, Geophysics, 82(3), U61-U73. Socco, L., Comina, C. and Khosro Anjom, F; 2017: Time-average velocity estimation through surface-wave analysis: Part 1 - S-wave velocity. Geophysics, 82(3), U49-U59. Yao, H., van der Hilst, R.D. and de Hoop, M.V; 2006: Surface-wave array tomography in SE Tibet from ambient seismic noise and two-station analysis – I. Phase velocity maps, Geophysical Journal International, 166(2), 732- 744. SEMI-AUTOMATIC INTERPRETATION OF UNDERGROUND UTILITIES BY MEANS OF GPR ATTRIBUTES M. Possamai 1 , E. Forte 1,2 , A. Mocnik 1 , R. Zambrini 1 1 Esplora srl, Spin-Off University of Trieste, Italy 2 Department of Mathematics and Geosciences, University of Trieste, Italy Introduction. Detection, location andmapping of buried pipelines are increasingly important in engineering in order to allow safe and faster maintenance operations. The most commonly used technique for these surveys is Ground Penetrating Radar (GPR), because it allows to detect underground utilities and because it’s cheaper than other non-invasive methods. GPR is a non-invasive geophysical method for high resolution imaging and characterization of shallow subsurface targets based on changes of electro-magnetic properties of the materials (Davis