The Annual Report for 2020 presents the different topics researched during the last year. All papers are open to the general public for reference, in order to encourage collaboration with other research groups and industry.
Please contact Prof. Julian M. Ortiz if you would like to discuss a collaborative project.
The contents of the Annual Report 2020 can be downloaded in a single pdf document or as individual papers.
Table of contents
Introduction Ortiz JM (2020) An Introduction to Sequential Gaussian Simulation Faraj F, Ortiz JM (2020) An unsupervised clustering approach for the geostatistical domaining of univariate data Avalos S, Ortiz JM (2020) Multiple-point statistics: tools and methods Riquelme A, Ortiz JM (2020) A short note on a Multi-Gaussian model for multivariate estimation and simulation Riquelme A, Ortiz JM (2020) Investigating the application of random fields on manifolds in geostatistical modeling Casson D, Ortiz JM (2020) Variograms of order w to measure departures from multiGaussianity , Cevik SI, Ortiz JM (2020) Machine learning in the mineral resource sector: An overview Altinpinar M, Ortiz JM (2020) Review of ausal inference and modeling Altinpinar M, Sari YA, Ortiz JM (2020) Synthetic high-resolution ore deposit model and mine plan Garrido M, Townley B, Ortiz JM (2020) Validation of geostatistical simulations of porphyry deposit through geological approach using ioGAS Avalos S, Ortiz JM (2020) A guide for pseudoflow in python Avalos S, Ortiz JM (2020) Ultimate pit policy via sequential Gaussian simulation Moraga C, Kracht, W, Ortiz JM (2020) Mineral processing modeling: a review Moraga C, Kracht, W, Ortiz JM (2020) Geometallurgical modeling of generic mineral processing plants Garrido M, Townley B, Ortiz JM, Castro J (2020) Integrating geometallurgical best practices in CIM definition standards guidelines
