Presenting Hundreds of New Exploration Targets in the Yukon
Identified from Stream Sediment Sampling Programs
Matched to Deposit Types with TARGET using Geochemistry, Geology, Terrane Setting, and Structure
Generating good new mineral exploration targets is a difficult task, requiring the consideration of many variables.
This website presents exploration targets, many of them new, which have been derived from the extensive geochemical sampling programs conducted in the Yukon by the Geological Survey of Canada
A special feature of these targets is that each one has been evaluated using Minerva's AI platform, which compares them with their best-matching mineral deposit models, and provides guidance, available on the site, as to what information should be sought when conducting follow-up work on each target.
24,546 samples were analysed statistically for 53 elements and levelled as a function of the lithology over which the sample was collected.
Local geology is a crucial part of the characterisation of any exploration target. The geological map of the Yukon was used to segment the geochemical samples and characterise the geology of sample sites and their surroundings.
Yukon geological terms were translated to GeoSCIML terminology.
The Yukon extends across a number of different geological terranes, each with its own unique genetic setting.
These geological settings have been included in the characterisation of each target, and assist The Reasoner to more accurately rank targets according to their mineral deposit-type affinities.
Faults and folds are known to play an important role in the location of certain deposit-types.
Surrounding faulting or folding are included in The Reasoner description of the targets to enable potentially more accurate characterization of deposit-type affinities.
The Yukon Geological Survey has compiled a comprehensive database of mineral occurrences in the territory.
Occurrences located near geochemical targets were included in the target descriptions.
TARGET records the type of match recognised between each pair of target and deposit model attributes.
This assists the reader of the report to understand TARGET’s reasoning, and it allows TARGET to adjust its similarity scores according to the strength or weakness of the match.