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TitleIntegrating hyperspectral mineralogy, mineral chemistry, geochemistry and geological data at different scales in iron ore mineral exploration
AuthorLeybourne, M I; Pontual, S; Peter, J MORCID logo
SourceIron Ore conference 2013; by AusIMM; 2013 p. 1-10
Alt SeriesEarth Sciences Sector, Contribution Series 20130116
PublisherAustralasian Institute of Mining and Metallurgy
MeetingIron Ore 2013; Perth; AU; August 12-14, 2013
Mediapaper; digital
File formatpdf
Subjectsmineralogy; geochemistry; metallic minerals; iron ores; iron; gold; mineralization; iron formations; trace element geochemistry; mineral exploration; boreholes; cores; clay minerals; hematite; remote sensing; sulphide deposits; gossans
ProgramTargeted Geoscience Initiative (TGI-4) Volcanogenic Massive Sulfide Ore Systems
AbstractBulk geochemical data are routinely used in exploration and delineation of iron ore deposits. Increasingly, hyperspectral optical reflectance spectroscopic data are also used to offer complementary mineralogical and mineral chemical information. Herein we provide bulk geochemical and spectrally determined mineralogical data for several case examples of iron deposits, as well as high-resolution bulk geochemical data for Carlin-type Au and volcanogenic massive sulfide (VMS) deposits. These are used to illustrate the utility of linking disparate data sets through a downhole drill core protocol to allow for more effective analysis of these data sets. Such data integration should become routine in the future, in preparation for effective evaluation and interpretation of increasingly higher resolution data sets.
Summary(Plain Language Summary, not published)
The Targeted Geoscience Initiative (TGI-4) 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 presentation and conference proceedings paper discusses how disparate geological and geochemical datasets can be queried to examine geological and geochemical relationships that would previously have not been possible through the use of novel computer software.

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