Exequiel Sepúlveda
Exequiel Sepúlveda
Postdoctoral Research Fellow, University of Adelaide / Conferencing Professor, University of Talca
Verified email at adelaide.edu.au - Homepage
Cited by
Cited by
Multivariate modelling of geometallurgical variables by projection pursuit
E Sepulveda, PA Dowd, C Xu, E Addo
Mathematical Geosciences 49 (1), 121-143, 2017
Fuzzy clustering with spatial correction and its application to geometallurgical domaining
E Sepúlveda, PA Dowd, C Xu
Mathematical Geosciences 50 (8), 895-928, 2018
A Methodology for the Simulation of Synthetic Geometallurgical Block Models of Porphyry Ore Bodies
M Garrido, E Sepúlveda, JM Ortiz, F Navarro, B Townley
Geomet 2018, 2018
The optimisation of block caving production scheduling with geometallurgical uncertainty–a multi-objective approach
E Sepúlveda, PA Dowd, C Xu
Mining Technology 127 (3), 131-145, 2018
A preliminary study on the role of acoustic emission on inferring Cerchar abrasivity index of rocks using artificial neural network
S Perez, M Karakus, E Sepulveda
Wear 344, 1-8, 2015
Optimization of planning and scheduling of ore body with open pit extraction considering homogeneity in clays as geometallurgical variables
M Garrido, E Sepúlveda, F Navarro
5th International Seminar on Mine Planning, Santiago, 294-300, 2017
Prediction of copper recovery from geometallurgical data using D-vine copulas
E Addo Jr, AV Metcalfe, EK Chanda, E Sepulveda, W Assibey-Bonsu, ...
Journal of the Southern African Institute of Mining and Metallurgy 119 (4 …, 2019
An overview of good practices in the use of geometallurgy to support mining reserves in copper sulfides deposits
M Garrido, JM Ortiz, E Sepúlveda, L Farfán, B Townley
Geomet 2019, 2019
Simulation of synthetic exploration and geometallurgical database of porphyry copper deposits for educational purposes
M Garrido, E Sepúlveda, J Ortiz, B Townley
Natural Resources Research, 2020
Quantification of uncertainty of geometallurgical variables for mine planning optimisation
E Sepúlveda
University OF Adelaide, 2018
Modelling geometallurgical response variables using Projection Pursuit regression
E Sepulveda, P Dowd, C Xu
11th International Mineral Processing Conference, 2015
Parallelization of simulation algorithm with GPU for constructing high-resolution models of Earth Sciences variables
D Baeza, E Sepúlveda, JM Ortiz
Ninth Conference on Geostatistics for Environmental Applications, 2012
Improve an efficient simulation of multidimensional Gaussian random fields in GPU
D Baeza, E Sepúlveda, J Ortiz
V Latin American Symposium on High Performance Computing, 2012
Distributed-Multiprocess Implementation of Kriging for the Estimation of Mineral Resources
E Sepulveda, J Ortiz
Minin 2010, 2010
Innovations in Software Development for Resource Evaluation
JM Ortiz, E Sepúlveda, A Barberán, X Emery, EJ Magri
III International Conference on Mining Innovation, 2008
Prediction of copper recovery from geometallurgical data using D-vine copulas
EA Jr, AV Metcalfe, EK Chanda, E Sepulveda, W Assibey-Bonsu, A Adeli
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