Scenario reduction using machine learning techniques applied to conditional geostatistical simulation
Abstract One of the basic factors in mine operational optimization is knowledge regarding mineral deposit features, which allows to predict its behavior. This could be achieved by conditional geostatistical simulation, which allows to evaluate deposit variability (uncertainty band) and its impacts o...
Main Authors: | Ryu Okada, João Felipe Coimbra Leite Costa, Áttila Leães Rodrigues, Bruno Tomasi Kuckartz, Diego Machado Marques |
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Format: | Article |
Language: | English |
Published: |
Fundação Gorceix
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Series: | REM: International Engineering Journal |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000200063&lng=en&tlng=en |
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