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An Integrated Data-Driven Approach for Evaluating the Impact of Additional Drill Holes in Mining Exploration

Authors:
José González
María González
Lukas Meszaros
Andre Orlandi

Keywords: Drillhole Data; Clustering analysis; Global bias assessment; Variogram; Mining exploration efficiency; Decision-making.

Abstract:
Efficient resource exploration in mining necessitates a strategic approach to drilling campaigns, where the acquisition of geological data must be both informative and cost- effective. In this paper, we present a new methodology that combines clustering algorithms, global bias assessment, and variogram comparison to evaluate the efficacy of additional drill holes in geological investigations. The methodology begins with the application of clustering algorithms to identify spatial patterns within existing data sets. Through this process, we categorize geological information into meaningful groups, allowing for the identification of regions with similar characteristics. Subsequently, a global bias assessment is conducted to quantify the contribution of each drill hole to the overall dataset. This step aids in discerning the unique information provided by individual holes and highlights potential redundancies. The variogram comparison is then employed to analyze the spatial continuity and variability of geological features. By assessing how variograms evolve with the inclusion of additional drill holes, we can determine when the acquired information reaches a point of diminishing returns. Through the integration of clustering validation parameters (Rand index), global bias between campaigns, and variogram contrast, we can quantify the moment when the data no longer contributes new information to our models. This analysis forms the basis for informed decision-making regarding the optimal number and placement of drill holes.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-68558-252-4

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025