Optimising the placement of additional drill holes to enhanced mineral resource classification: a case study on a porphyry copper deposit

Author:

Maleki Mohammad1ORCID,Baeza Daniel2,Soltani-Mohammadi Saeed3,Madani Nasser4,Díaz Eduardo1,Anguita Francisco5

Affiliation:

1. Department of Metallurgical and Mining Engineering, Universidad Católica del Norte, Antofagasta, Chile

2. Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile

3. Department of Mining Engineering, University of Kashan, Kashan, Iran

4. School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan

5. Lidenbrock, Gea Spa, Santiago, Chile

Funder

ANID program: Startup Ciencia 2021

ANID

Publisher

Informa UK Limited

Reference33 articles.

1. Quantifying Uncertainty in Mineral Resources by Use of Classification Schemes and Conditional Simulations

2. Case for geometric criteria in resources and reserves classification;Deutsch C.V.;Trans. So.c Min. Metall. Explor. Inc.,2007

3. Mineral resource classification: A comparison of new and existing techniques;Silva D.;J. South Afr. Inst. Min. Metall.,2014

4. R. Dimitrakopoulos, M. Godoy, and C. Chou, Resource/reserve classification with integrated geometric and local grade variability measures, Proceedings, Orebody modelling and strategic mine planning, Perth, 2009, pp. 207–214.

5. S. Owusu and K. Dagdelen, Critical review of mineral resource classification techniques in the gold mining industry, Mining goes digital: proceedings of the 39th international symposium ‘application of computers and operations research in the mineral industry’(APCOM 2019), Wroclaw, Poland, 2019, pp. 201–209.

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