We applied four surface wave attributes (i.e., energy, autospectrum, energy decay exponent and attenuation coefficient) to map the presence of geo-structural features at South Deep Gold Mine (Gold Fields Group) in Westonaria (South Africa). We tested the SW attributes along active seismic lines with a standard multifold approach, identifying the main fault systems of the site. We then demonstrated their effectiveness in detecting coherent geo-structural features also on 3D data acquisitions, as well as on passive data.

Surface Wave Attributes for the Mapping of Geo-Structural Features in Mineral Exploration / Colombero, C.; Anjom, F. Khosro; Gomo, S.; Socco, V.; Manzi, M.. - (2024), pp. 1-5. (Intervento presentato al convegno 5th Conference on Geophysics for Mineral Exploration and Mining, Held at the Near Surface Geoscience Conference and Exhibition 2024, NSG 2024 tenutosi a Helsinki (FINLAND) nel 2024) [10.3997/2214-4609.202420064].

Surface Wave Attributes for the Mapping of Geo-Structural Features in Mineral Exploration

Colombero, C.;Gomo, S.;Socco, V.;
2024

Abstract

We applied four surface wave attributes (i.e., energy, autospectrum, energy decay exponent and attenuation coefficient) to map the presence of geo-structural features at South Deep Gold Mine (Gold Fields Group) in Westonaria (South Africa). We tested the SW attributes along active seismic lines with a standard multifold approach, identifying the main fault systems of the site. We then demonstrated their effectiveness in detecting coherent geo-structural features also on 3D data acquisitions, as well as on passive data.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2999044
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