Drilling Grid Analysis for Defining Open-Pit and Underground Mineral Resource Classification through Production Data

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_18 ◽

2017 ◽

pp. 271-285

Author(s):

Roberto Menin ◽

Cassio Diedrich ◽

Joao Dirk Reuwsaat ◽

Wellington F. De Paula

Keyword(s):

Mineral Resource ◽

Open Pit ◽

Production Data ◽

Grid Analysis ◽

Resource Classification

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Mineral Resource Classification Based on Uncertainty Measures in Geological Domains

Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 - Springer Series in Geomechanics and Geoengineering ◽

10.1007/978-3-030-33954-8_19 ◽

2019 ◽

pp. 157-164

Author(s):

Nasser Madani

Keyword(s):

Mineral Resource ◽

Uncertainty Measures ◽

Resource Classification

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Quantifiable Mineral Resource Classification: A Logical Approach

Geostatistics Banff 2004 - Quantitative Geology and Geostatistics ◽

10.1007/978-1-4020-3610-1_34 ◽

2005 ◽

pp. 333-342 ◽

Cited By ~ 4

Author(s):

Christina Dohm

Keyword(s):

Mineral Resource ◽

Logical Approach ◽

Resource Classification

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Development of a best-practice mineral resource classification system for the De Beers group of companies

Journal of the Southern African Institute of Mining and Metallurgy ◽

10.17159/2411-9717/2017/v117n12a6 ◽

2017 ◽

Vol 117 (12) ◽

pp. 1027-1032

Author(s):

A. Grills

Keyword(s):

Mineral Resource ◽

Classification System ◽

Best Practice ◽

Resource Classification ◽

De Beers

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Principles of the mineral resource classification system of the U.S. Bureau of Mines and U.S. Geological Survey

10.3133/b1450a ◽

1976 ◽

Keyword(s):

Mineral Resource ◽

Classification System ◽

Geological Survey ◽

Resource Classification ◽

The U.S

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Methodology of the Mineral Resource Classification

Modern Approaches in Solid Earth Sciences - Applied Mining Geology ◽

10.1007/978-3-319-39264-6_28 ◽

2016 ◽

pp. 355-363

Author(s):

Marat Abzalov

Keyword(s):

Mineral Resource ◽

Resource Classification

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Combination of geostatistical simulation and fractal modeling for mineral resource classification

Journal of Geochemical Exploration ◽

10.1016/j.gexplo.2014.11.007 ◽

2015 ◽

Vol 149 ◽

pp. 59-73 ◽

Cited By ~ 32

Author(s):

Behnam Sadeghi ◽

Nasser Madani ◽

Emmanuel John M. Carranza

Keyword(s):

Mineral Resource ◽

Geostatistical Simulation ◽

Fractal Modeling ◽

Resource Classification

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THE UNITED NATIONS' ENDEAVOUR TO STANDARDIZE MINERAL RESOURCE CLASSIFICATION

Natural Resources Forum ◽

10.1111/j.1477-8947.1980.tb00989.x ◽

1980 ◽

Vol 4 (3) ◽

pp. 307-313 ◽

Cited By ~ 3

Author(s):

JOHN J. SCHANZ

Keyword(s):

Mineral Resource ◽

United Nations ◽

Resource Classification ◽

The United Nations

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On the Use of Machine Learning for Mineral Resource Classification

Mining Metallurgy & Exploration ◽

10.1007/s42461-021-00478-9 ◽

2021 ◽

Vol 38 (5) ◽

pp. 2055-2073

Author(s):

Ilkay S. Cevik ◽

Oy Leuangthong ◽

Antoine Caté ◽

Julián M. Ortiz

Keyword(s):

Machine Learning ◽

Mineral Resource ◽

Resource Classification

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Declustering weights as a measure of average sample spacing, applications in mineral resource classification

Mining Goes Digital ◽

10.1201/9780429320774-28 ◽

2019 ◽

pp. 246-254

Author(s):

D.E. Hulse ◽

R.C. Bryan

Keyword(s):

Mineral Resource ◽

Sample Spacing ◽

Resource Classification ◽

Average Sample

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Critical review of mineral resource classification techniques in the gold mining industry

Mining Goes Digital ◽

10.1201/9780429320774-23 ◽

2019 ◽

pp. 201-209

Author(s):

S.K.A. Owusu ◽

K. Dagdelen

Keyword(s):

Mineral Resource ◽

Critical Review ◽

Gold Mining ◽

Mining Industry ◽

Classification Techniques ◽

Resource Classification

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