High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures

Although applied in the past, there are only a few cases demonstrating the advantages of multicomponent seismic data for mineral exploration. To illustrate this, a test survey using sixty 3C-digital sensors, spaced between 2 to 4 m and assembled in a 160 m long landstreamer, was carried out to provi...

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Main Authors: Malehmir, A., Wang, S., Lamminen, J., Bastani, M., Juhlin, Christopher, Vaittinen, K., Dynesius, L., Palm, H.
Format: Conference Paper
Published: EAGE Publishing BV 2014
Online Access:http://hdl.handle.net/20.500.11937/36009
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author Malehmir, A.
Wang, S.
Lamminen, J.
Bastani, M.
Juhlin, Christopher
Vaittinen, K.
Dynesius, L.
Palm, H.
author_facet Malehmir, A.
Wang, S.
Lamminen, J.
Bastani, M.
Juhlin, Christopher
Vaittinen, K.
Dynesius, L.
Palm, H.
author_sort Malehmir, A.
building Curtin Institutional Repository
collection Online Access
description Although applied in the past, there are only a few cases demonstrating the advantages of multicomponent seismic data for mineral exploration. To illustrate this, a test survey using sixty 3C-digital sensors, spaced between 2 to 4 m and assembled in a 160 m long landstreamer, was carried out to provide information on shallow structures hosting mineralization and also a magnetic lineament with an unknown origin. The survey, totally about 1.3 km long, was complemented by Radio MagnetoTelluric (RMT) measurements. Although an explosive source was used to generate the seismic signal, the seismic data show good quality for all the three components. Supported by the RMT results, clear reflections are observed in the horizontal component data at about 25 m depth, one of them steeply dipping, likely associated with the magnetic lineament. Field static corrections were well estimated thanks to the close shot and receiver spacing and the broadband frequency content of the data. This study demonstrates that multicomponent seismic data can be useful for providing information on shallow structures and linking them to the surface geology. The vertical component data, however, show deeper penetration and better image the crystalline basement and its undulated/faulted surface at about 50 m depth.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:43:47Z
publishDate 2014
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spelling curtin-20.500.11937-360092017-09-13T15:18:09Z High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures Malehmir, A. Wang, S. Lamminen, J. Bastani, M. Juhlin, Christopher Vaittinen, K. Dynesius, L. Palm, H. Although applied in the past, there are only a few cases demonstrating the advantages of multicomponent seismic data for mineral exploration. To illustrate this, a test survey using sixty 3C-digital sensors, spaced between 2 to 4 m and assembled in a 160 m long landstreamer, was carried out to provide information on shallow structures hosting mineralization and also a magnetic lineament with an unknown origin. The survey, totally about 1.3 km long, was complemented by Radio MagnetoTelluric (RMT) measurements. Although an explosive source was used to generate the seismic signal, the seismic data show good quality for all the three components. Supported by the RMT results, clear reflections are observed in the horizontal component data at about 25 m depth, one of them steeply dipping, likely associated with the magnetic lineament. Field static corrections were well estimated thanks to the close shot and receiver spacing and the broadband frequency content of the data. This study demonstrates that multicomponent seismic data can be useful for providing information on shallow structures and linking them to the surface geology. The vertical component data, however, show deeper penetration and better image the crystalline basement and its undulated/faulted surface at about 50 m depth. 2014 Conference Paper http://hdl.handle.net/20.500.11937/36009 10.3997/2214-4609.20140509 EAGE Publishing BV unknown
spellingShingle Malehmir, A.
Wang, S.
Lamminen, J.
Bastani, M.
Juhlin, Christopher
Vaittinen, K.
Dynesius, L.
Palm, H.
High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title_full High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title_fullStr High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title_full_unstemmed High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title_short High-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
title_sort high-resolution multicomponent hardrock seismic imaging of mineral deposits and their host rock structures
url http://hdl.handle.net/20.500.11937/36009