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Optimising bench-level energy distribution based on drilling error measurements in the mining industry

Journal Article (2025)
Author(s)

Sean Klerkx (Student TU Delft)

MS Shishvan (TU Delft - Resource Engineering)

Amin Moniri-Morad (University of Nevada, Reno)

Javad Sattarvand (University of Nevada, Reno)

Research Group
Resource Engineering
DOI related publication
https://doi.org/10.1080/17480930.2025.2508820
More Info
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Publication Year
2025
Language
English
Research Group
Resource Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
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Abstract

Drillhole location deviations can disrupt energy distribution within mining benches, leading to uneven fragmentation and reduced operational efficiency. This study presents an optimisation approach that compensates for drilling inaccuracies to achieve more uniform energy input. The method involves discretizing the bench into a block model to estimate localised energy distribution and constructing a mathematical model to minimise discrepancies between the planned and actual energy delivery. A Tabu Search algorithm is used to solve the model. Case studies demonstrated improvements in the objective function, ranging from 0.53%–1.54% overall, and 2.14%–3.94% within the zones most affected by deviation.

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