Fine Sediment Geochemistry for Gold Orientation Survey
This project compares fine sediment geochemistry (-53 microns) with traditional -180 microns (-80 mesh) sediment geochemistry. The goal of this project is to confirm or deny the key theoretical advantages of fine fraction sediment sampling as outlined in YGS Open File 1993-9 (G), and to develop practical and efficient techniques for collecting and processing the samples. Those key theoretical advantages are less local sample site variation, improved reproducibility, and the potential to preferentially define anomalies associated with significant bedrock mineralization.
Five study areas were selected in Yukon. Four of these areas contain known gold mineralization that has been mined in the past or contain significant drill indicated reserves. The Mt. Skukum deposit is a low sulfide quartz carbonate vein system that was mined in the mid 1980s. Ketza River is a sulfide-rich manto-style deposit with significant oxide reserves that was mined in the late 1980s. Dublin Gulch is a gold-bearing stockwork hosted within intrusive, similar to the Fort Knox gold deposit at Fairbanks, Alaska. Brewery Creek is a disseminated gold deposit hosted primarily within structurally disrupted intrusives.
Samples of -2000 micron sediment were collected from streams draining these areas of known mineralization, as well as from streams draining areas with no known significant mineralization but with erratic gold values from government sponsored regional geochemical surveys (RGS), and from streams that have only background gold values from RGS. Gold concentrations for each sample were determined by duplicate 30 g fire assay and one 10 g aqua-regia analysis. Values for 32 other elements were determined by ICP analysis.
Evidence from this orientation survey demonstrates the potential to improve the success rate of reconnaissance exploration for gold by collecting fine fraction sediment samples as a first step in exploration. Increased project cost at this stage could be greatly offset by more efficient and successful follow-up programs.
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 02:19 (UTC) |
| Created | October 20, 2025, 02:19 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Fine Sediment Geochemistry for Gold Orientation Survey |
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Description
A description of the dataset.
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This project compares fine sediment geochemistry (-53 microns) with traditional -180 microns (-80 mesh) sediment geochemistry. The goal of this project is to confirm or deny the key theoretical advantages of fine fraction sediment sampling as outlined in YGS Open File 1993-9 (G), and to develop practical and efficient techniques for collecting and processing the samples. Those key theoretical advantages are less local sample site variation, improved reproducibility, and the potential to preferentially define anomalies associated with significant bedrock mineralization. Five study areas were selected in Yukon. Four of these areas contain known gold mineralization that has been mined in the past or contain significant drill indicated reserves. The Mt. Skukum deposit is a low sulfide quartz carbonate vein system that was mined in the mid 1980s. Ketza River is a sulfide-rich manto-style deposit with significant oxide reserves that was mined in the late 1980s. Dublin Gulch is a gold-bearing stockwork hosted within intrusive, similar to the Fort Knox gold deposit at Fairbanks, Alaska. Brewery Creek is a disseminated gold deposit hosted primarily within structurally disrupted intrusives. Samples of -2000 micron sediment were collected from streams draining these areas of known mineralization, as well as from streams draining areas with no known significant mineralization but with erratic gold values from government sponsored regional geochemical surveys (RGS), and from streams that have only background gold values from RGS. Gold concentrations for each sample were determined by duplicate 30 g fire assay and one 10 g aqua-regia analysis. Values for 32 other elements were determined by ICP analysis. Evidence from this orientation survey demonstrates the potential to improve the success rate of reconnaissance exploration for gold by collecting fine fraction sediment samples as a first step in exploration. Increased project cost at this stage could be greatly offset by more efficient and successful follow-up programs. |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
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Metadata Identifier
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Published Date
Published date of the dataset.
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2011-04-04 |
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Time Period Data Span (start date)
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
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Access category
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License
License used to access the dataset.
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Open Government Licence - Yukon |
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Limits on use
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Location
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https://open.canada.ca/data/en/dataset/ef3cf102-2ae3-4c32-9c48-baa667989a69 |
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Data Service
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Owner
Owner of the dataset.
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Government of Yukon | Gouvernement du Yukon |
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Contact Point
Who to contact regarding access?
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Yukon Geological Survey |
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Contact Point Email
The email to contact regarding access?
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Publisher
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Publisher Email
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[email protected] |
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Author
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Author Email
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Accessed At
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Identifier
Unique identifier for the dataset.
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Language
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Link to dataset description
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Persistent Identifier
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Globally Unique Identifier
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Contains data about individuals
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Contains data about identifiable individuals
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
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Is version of another dataset
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Other versions
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Provenance Text
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Provenance URL
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Temporal resolution
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GeoSpatial resolution in meters
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
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Number of data columns
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Number of data cells
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Number of data relations
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Number of entities
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Number of data properties
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Data quality
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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