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

Sean Klerkx, Masoud Soleymani Shishvan, Amin Moniri-Morad, Javad Sattarvand*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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.

Original languageEnglish
Number of pages22
JournalInternational Journal of Mining, Reclamation and Environment
DOIs
Publication statusPublished - 2025

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.

Keywords

  • drilling deviation analysis
  • Energy distribution optimization
  • fragmentation
  • metaheuristic optimization

Fingerprint

Dive into the research topics of 'Optimising bench-level energy distribution based on drilling error measurements in the mining industry'. Together they form a unique fingerprint.

Cite this