Integration of geostatistical modeling into discrete event simulation for development of tailings dam retreatment applications-Reference-Cited by-同舟云学术

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Integration of geostatistical modeling into discrete event simulation for development of tailings dam retreatment applications

Published:2021-04 Issue: Volume:164 Page:106814
ISSN:0892-6875
Container-title:Minerals Engineering
language:en
Short-container-title:Minerals Engineering

Author:

Wilson R.,Toro N.,Naranjo O.,Emery X.,Navarra A.

Funder

National Commission for Scientific and Technological Research

Publisher

Elsevier BV

Subject

Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Reference45 articles.

1. Aitcin, P., 2016. Portland cement. En: P. Aitcin & R. Flatt, edits. Science and Technology of Concrete Admixtures. Woodhead Publishing, Philadelphia (PA), pp. 27-51.

2. A novel approach to the geometallurgical modelling of the Collahuasi grinding circuit;Alruiz;Miner. Eng.,2009

3. Simulation Modeling and Analysis with Arena;Altiok,2007

4. Improving Truck-Shovel Energy Efficiency through Discrete Event Modeling;Awuah-Offei,2012

5. Mining industry and sustainable development: time for change;Carvalho;Food Energy Secur.,2017

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1. Mineral Resources Evaluation in Narrow Deposits: A Case Study on a Layered Bauxite Deposit;Natural Resources Research;2024-05-26

2. Action Versus Reaction: How Geometallurgy Can Improve Mine Waste Management Across the Life-Of-Mine;Elements;2023-12-01

3. Hydrochemistry, Elements Distribution and Their Potential Recoveries in Gold Metallurgical Treatment Tailings Dams;Water;2023-07-27

4. Technology Upgrade Assessment for Open-Pit Mines through Mine Plan Optimization and Discrete Event Simulation;Minerals;2023-05-05

5. Geochemistry and mineralogy of auriferous tailings deposits and their potential for reuse in Nova Lima Region, Brazil;Scientific Reports;2023-03-16

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