Mapping seafloor massive sulfides with the Golden Eye frequency-domain EM profiler

Hendrik Müller; Katrin Schwalenberg; Konstantin Reeck; Udo Barckhausen; Ulrich Schwarz-Schampera; Christian Hilgenfeldt; Tilo von Dobeneck

doi:10.3997/1365-2397.n0127

ISSN: 0263-5046
E-ISSN: 1365-2397

Mapping seafloor massive sulfides with the Golden Eye frequency-domain EM profiler
Authors Hendrik Müller¹, Katrin Schwalenberg¹, Konstantin Reeck², Udo Barckhausen¹, Ulrich Schwarz-Schampera¹, Christian Hilgenfeldt³, Tilo von Dobeneck³
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Affiliations: ¹ BGR - Federal Institute for Geosciences and Natural Resources ² GEOMAR - Helmholtz Centre for Ocean Research ³ Universität Bremen, Department of Geosciences
Source: First Break, Volume 36, Issue 10, Oct 2018, p. 61 - 67
DOI: https://doi.org/10.3997/1365-2397.n0127
- Published online: 01 Oct 2018

Abstract

Since the early discovery of a black-smoker complex in 1978 on the East Pacific Rise at 21°N, speculations and expectations have been driven about the potential and perspectives of mining seafloor massive sulfide (SMS) deposits in the deep-ocean. With a worldwide accelerating industrialization, emerging markets, increased commodity prices and metal demand, and advancements in deep-water mining and extraction technologies, mining of SMS may become economically feasible in the near future (Kowalczyk, 2008). However, we still know little about the resource potential of SMS deposits, and the development of geophysical methods for an assessment of their spatial extent, composition, and inner structure is crucial to derive a proper assessment of their economic value. Novel geophysical mapping techniques and exploration strategies are required to locate extinct and buried clusters of SMS deposits, away from the active vent fields and of larger economic potential, but are difficult to find and sample by conventional methods.

EAGE Publications BV

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References

Baasch, B., Müller, H., Oberle, F.K.J. and von Dobeneck, T.
[2014]. Inversion of marine multifrequency electromagnetic profiling data: A new approach to resolve surficial sediment stratification.Geophysical Journal International, 200(3), 438–451.
[Google Scholar]
Barckhausen, U., Heyde, I., Rühlemann, C., Schwarz-Schampera, U., Schreckenberger, B. and Schwalenberg, K.
[2016]. Geophysical Exploration Tools for Deep Sea Mineral Resources.EAGE/DGG Workshop on Deep Mineral Exploration, Extended Abstracts. Doi: 10.3997/2214‑4609.201600034.
https://doi.org/10.3997/2214-4609.201600034 [Google Scholar]
Jang, H., Kim, H.J. and Nam, M.J.
[2016]. In-Loop Transient Electromagnetic Responses with Induced Polarization Effects of Deep-Sea Hydrothermal Deposits.IEEE Transactions on Geoscience and Remote Sensing, 54, 7272–7278.
[Google Scholar]
Kowalczyk, P.
[2008]. Geophysical prelude to first exploitation of submarine massive sulphides.First Break, 26(11), 99–106.
[Google Scholar]
Müller, H., Schwalenberg, K., Hilgenfeldt, C. and von Dobeneck, T.
[2016]. Mapping Seafloor Massive Sulfides at the Central Indian Ridge with a Novel Central Loop Electromagnetic Profiler.1st EAGE Conference on Geophysics for Mineral Exploration and Mining. Extended Abstracts. Doi: 10.3997/2214‑4609.201602118.
https://doi.org/10.3997/2214-4609.201602118 [Google Scholar]
Müller, H., von Dobeneck, T., SanFilipo, B., Hilgenfeldt, C., Rey, D. and Rubio, B.
[2012]. Mapping the magnetic susceptibility and electric conductivity of marine surficial sediments by benthic EM profiling.Geophysics, 77(1), E43–E56.
[Google Scholar]
Pelton, W.H., Ward, S.H., Hallof, P.G., Sill, W.R. and Nelson, P.H.
[1978]. Mineral discrimination and removal of inductive coupling with multifrequency IP.Geophysics, 43(3), 588–609.
[Google Scholar]
Schwalenberg, K., Müller, H. and Engels, M.
[2016]. Seafloor Massive Sulfide Exploration - A New Field of Activity for Marine Electro-magnetics.EAGE/DGG Workshop on Deep Mineral Exploration, Extended Abstracts. Doi: 10.3997/2214‑4609.201600035.
https://doi.org/10.3997/2214-4609.201600035 [Google Scholar]
Spagnoli, G., Hannington, M., Bairlein, K., Hördt, A., Jegen, M., Peters-en, S. and Larila, T.
[2016]. Electrical properties of seafloor massive sulphides.Geo-Marine Letters, 36(235), 235–245.
[Google Scholar]
Further information about the INDEX-Project can be found on the BGR website: www.bgr.bund.de/EN/

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Mapping seafloor massive sulfides with the Golden Eye frequency-domain EM profiler

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Mapping seafloor massive sulfides with the Golden Eye frequency-domain EM profiler

Abstract

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