From Assay to Answer: Unlocking Mineralogy from the Data You Already Own
Abstract: Exploration teams have accumulated vast geochemical datasets over decades through capital-intensive drilling programs. Yet, much of this data remains underutilised—particularly for extracting mineralogical insight.
Modern analytical methods such as 4-acid ICP-MS mean assays are not merely indicators of grade; they encode mineralogical signatures that can be leveraged by geologists, mining engineers, geotechnical teams, and metallurgists. However, building robust mineralogical models still typically requires additional sampling, complex logistics, and costly specialised analyses such as qXRD, QEMSCAN, or core scanning.
In this webinar, Takeshy Coaquira demonstrates how Comet applies advanced modelling techniques to assay data to infer mineralogical composition. This enables rapid extraction of mineralogical intelligence from legacy datasets, supporting more informed targeting, improved resource interpretation, and faster decision-making.