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TitleThree-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorAnsari, S M; Schetselaar, E MORCID logo; Craven, J A
SourceTargeted Geoscience Initiative 5: volcanic- and sediment-hosted massive-sulfide deposit genesis and exploration methods; by Peter, J MORCID logo (ed.); Gadd, M GORCID logo (ed.); Geological Survey of Canada, Bulletin 617, 2022 p. 313-327, Open Access logo Open Access
PublisherNatural Resources Canada
Mediaon-line; digital
RelatedThis publication is contained in Targeted Geoscience Initiative 5: volcanic- and sediment-hosted massive-sulfide deposit genesis and exploration methods
File formatpdf
AreaSnow Lake
Lat/Long WENS-100.1833 -100.1000 54.9000 54.8500
Subjectseconomic geology; geophysics; structural geology; stratigraphy; Science and Technology; Nature and Environment; mineral exploration; mineral deposits; volcanogenic deposits; sulphide deposits; ore mineral genesis; mineralization; ore controls; structural controls; modelling; models; magnetotelluric interpretations; geophysical logging; resistivity logging; wireline logs; electrical resistivity; computer simulations; lithostratigraphy; lithofacies; host rocks; flow regimes; bedrock geology; structural features; lithology; igneous rocks; volcanic rocks; volcaniclastics; basalts; rhyodacites; tuffs; breccias; dacites; mafic volcanic rocks; mapping techniques; Lalor Deposit; Chisel Basin; Snow Lake Domain; Paleoproterozoic; Methodology; Precambrian; Proterozoic
Illustrationscross-sections; 3-D models; models; tables; sections
ProgramTargeted Geoscience Initiative (TGI-5) Volcanic and sedimentary systems - volcanogenic massive sulphide ore systems
Released2022 01 27; 2022 11 17
AbstractUnconstrained magnetotelluric inversion commonly produces insufficient inherent resolution to image ore-system fluid pathways that were structurally thinned during post-emplacement tectonic activity. To improve the resolution in these complex environments, we synthesized the 3-D magnetotelluric (MT) response for geologically realistic models using a finite-element-based forward-modelling tool with unstructured meshes and applied it to the Lalor volcanogenic massive-sulfide deposit in the Snow Lake mining camp, Manitoba. This new tool is based on mapping interpolated or simulated resistivity values from wireline logs onto unstructured tetrahedral meshes to reflect, with the help of 3-D models obtained from lithostratigraphic and lithofacies drillhole logs, the complexity of the host-rock geological structure.
The resulting stochastic model provides a more realistic representation of the heterogeneous spatial distribution of the electric resistivity values around the massive, stringer, and disseminated sulfide ore zones. Both models were combined into one seamless tetrahedral mesh of the resistivity field. To capture the complex resistivity distribution in the geophysical forward model, a finite-element code was developed. Comparative analyses of the forward models with MT data acquired at the Earth's surface show a reasonable agreement that explains the regional variations associated with the host rock geological structure and detects the local anomalies associated with the MT response of the ore zones.
Summary(Plain Language Summary, not published)
The Targeted Geoscience Initiative (TGI) is a collaborative federal geoscience program that provides industry with the next generation of geoscience knowledge and innovative techniques to better detect buried mineral deposits, thereby reducing some of the risks of exploration. This contribution summarizes the results of a 5-year study of multiple mineral deposit types: polymetallic hyper-enriched black shale; sedimentary exhalative Pb-Zn; carbonate-hosted Pb-Zn, magnesite; fracture-controlled replacement Zn-Pb, rare-earth element-F-Ba; and volcanogenic massive sulfides. Studies employed field geology, combined with geochemical (lithogeochemistry, stable and radiogenic isotopes, fluid inclusions, and mineral chemistry) and geophysical (rock properties, magnetotelluric, and seismic) methods. Collectively, the research provides advanced genetic and exploration models for volcanic- and sedimentary-hosted base-metal deposits, together with new laboratory, geophysical, and field techniques.

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