Integration by design: Driving mineral system knowledge using multi modal, collocated, scale-consistent characterization
James Austin,
Michael Gazley,
Renee Birchall
et al.
Abstract:Abstract. Recent decades have seen an exponential rise in the application of machine learning in geoscience. Fundamental differences distinguish geoscience data from most other data types. Geoscience datasets are typically multi-dimensional, and contain 1-D (drillholes), 2-D (maps or cross-sections), and 3-D volumetric and point data (models/voxels). Geoscience data quality is a product of its resolution and the precision of the methods used to acquire it. The dimensionality, resolution, and precision of each … Show more
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