Reflection image beyond the known extent of the prospective zone provided by 3D virtual-source methodology

Conference Paper (2022)
Author(s)

M. Chamarczuk (Institute of Geophysics PAS)

DS Draganov (TU Delft - Applied Geophysics and Petrophysics)

Michal Malinowski (Geological Survey of Finland)

E. Koivisto (University of Helsinki)

S. Heinonen (Geological Survey of Finland)

Sanna Rötsä (Boliden Kevitsa Mining Oy)

Research Group
Applied Geophysics and Petrophysics
Copyright
© 2022 M. Chamarczuk, D.S. Draganov, M. Malinowski, E. Koivisto, S. Heinonen, S. Rötsä
DOI related publication
https://doi.org/10.3997/2214-4609.202210151
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 M. Chamarczuk, D.S. Draganov, M. Malinowski, E. Koivisto, S. Heinonen, S. Rötsä
Research Group
Applied Geophysics and Petrophysics
Pages (from-to)
572-576
ISBN (electronic)
978-171385931-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We apply a full-scale 3D seismic virtual-source survey (VSS) for the purpose of near-mine mineral exploration in the Kylylahti sulfide deposit, Finland. Based on the ambient-noise (AN) characterization including beamforming results, we created a 10-days subset of AN recordings that were dominated by multi-azimuth high-velocity arrivals. We use an illumination-diagnosis and location procedure to show that the AN recordings associated with the high apparent velocities are related to body-wave events. Next, we produce 994 virtual-source gathers by applying seismic-interferometry processing by crosscorrelating AN at all receivers resulting in a full 3D VSS. We apply standard 3D time-domain reflectiondata processing and imaging using the subset and the full AN data, and validate both results against a pre-existing detailed geological information and 3D active-source data processed in the same way as the passive data. The resulting post-stack migrated sections show agreement of reflections between the passive and active data and indicate that VSS provides images where the active-source data are not available. In particular, the previously unknown extent of the ore-bearing complex was captured exclusively by passive data, which added a new geological insight into the Kylylahti formation. The methodological approach developed can be used in other areas in mineral exploration context.

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