Quantifying Wet Muck Entry Risk for Long-term Planning in Block Caving-Reference-Cited by-同舟云学术

Quantifying Wet Muck Entry Risk for Long-term Planning in Block Caving

Published:2018-05-24 Issue:9 Volume:51 Page:2965-2978
ISSN:0723-2632
Container-title:Rock Mechanics and Rock Engineering
language:en
Short-container-title:Rock Mech Rock Eng

Author:

Castro Raúl,Garcés Diego,Brzovic Andrés,Armijo Francisco

Funder

Advanced Mining Technology Center

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s00603-018-1512-3/fulltext.html

Reference24 articles.

1. Allison P (2012) Logistic regression using SAS®: theory and application, 2nd edn. SAS Institute

2. Becerra C (2011) Controlling drawpoints prone to pumping—El Teniente mine. In: Geomin 2011: Proceedings of the Second International Seminar on Geology for the Mining Industry, Antofagasta, Chile

3. Brown E (2004) Block Caving Geomechanics, 2nd edn. Julius Kruttschnitt Minerals Research Center, University of Queensland, Brisbane

4. Brzovic A, Villaescusa E (2006) Rock mass characterization and assessment of block-forming geological discontinuities during caving of primary copper ore at the El Teniente mine, Chile. Int J Rock Mech Min Sci, 44(4), 565–583

5. Butcher R, Stacey T, Joughin W (2005) Mud rushes and methods of combating them. J S Afr Inst Min Metall 105(11):817–824

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2. Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model;Mining Technology: Transactions of the Institutions of Mining and Metallurgy;2024-07-23

3. Statistical analysis of the impact of ore draw strategies on wet inrush hazard susceptibility in a panel cave mine;International Journal of Rock Mechanics and Mining Sciences;2024-02

4. Combining geomechanical and hydrogeological modeling for drainage analysis in Block Caving mine development;International Journal of Rock Mechanics and Mining Sciences;2024-01

5. A wet muck entry model: a case study for long-term planning at El Teniente mine;International Journal of Mining, Reclamation and Environment;2023-10-09