Harnessing Data Complexity – How Machine Learning Applies All Project Data for Accurate Resource Modelling

Wednesday, December 14th, 2022

This paper discusses the factors accentuating complexity in deposit modelling: data diversity, structural controls, chemistry, data volumes, process workflows and external non-geological constraints. A case study illustrates the risk of ignoring complexity, which can result in an overly simplified geological model.

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