Skip to Main Content
GeoScienceWorld
Skip Nav Destination

Errors and Uncertainty in Mineral Resource and Ore Reserve Estimation: The Importance of Getting it Right

Exploration and Mining Geology (2002) 11 (1-4): 77–98.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
A novel geostatistical index of uncertainty for short-term mining plan
  • G. M. C. Dias
  • M. M. Rocha
  • V. M. Silva
CIM Journal (2023) 1.
Error reduction in long-term mine planning estimates using deep learning models
  • Carlos Olmos-de-Aguilera
  • Pedro G. Campos
  • Nathalie Risso
Expert Systems with Applications (2023) 217: 119487.
Resource Estimation in Multi-Unit Mineral Deposits Using a Multivariate Matérn Correlation Model: An Application in an Iron Ore Deposit of Nkout, Cameroon
  • Franklin Ekolle-Essoh
  • Arsène Meying
  • Alain Zanga-Amougou
  • Xavier Emery
Minerals (2022) 12 (12): 1599.
Towards a sampling protocol for the resource assessment of critical raw materials in tailings storage facilities
  • Rosie Blannin
  • Max Frenzel
  • Raimon Tolosana-Delgado
  • Jens Gutzmer
Journal of Geochemical Exploration (2022) 236: 106974.
Alluvial tin mining by spray-suction borehole method: a case study on remaining alluvial tin reserves in Bangka Belitung, Indonesia
  • Azwardi Ichwan
  • Aryo Wibowo
  • Anggayana Komang
  • Nuhindro Widodo
Journal of Mining Institute (2022) Online first
Open Pit Optimization Using the Floating Cone Method: A New Algorithm
  • Gonzalo Ares
  • César Castañón Fernández
  • Isidro Diego Álvarez
  • Daniel Arias
  • Arturo Buelga Díaz
Minerals (2022) 12 (4): 495.
A Novel Approach for Resource Estimation of Highly Skewed Gold Using Machine Learning Algorithms
  • M. M. Zaki
  • Shaojie Chen
  • Jicheng Zhang
  • Fan Feng
  • Aleksey A. Khoreshok
  • Mohamed A. Mahdy
  • Khalid M. Salim
Minerals (2022) 12 (7): 900.
Assessment of Recoverable Resource Uncertainty in Multivariate Deposits Through a Simple Machine Learning Technique Trained Using Geostatistical Simulations
  • Nadia Mery
  • Denis Marcotte
Natural Resources Research (2022) 31 (2): 767.
Evaluation of world lithium mining projects using hybrid MCDM model
  • Chia-Nan Wang
  • Julius Bayer
  • Thanh-Tuan Dang
  • Hsien-Pin Hsu
Minerals Engineering (2022) 189: 107905.
A comparative study of geometric and geostatistical methods for qualitative reserve estimation of limestone deposit
  • Thomas Busuyi Afeni
  • Victor Oluwatosin Akeju
  • Adeyemi Emman Aladejare
Geoscience Frontiers (2021) 12 (1): 243.
Machine Learning—A Review of Applications in Mineral Resource Estimation
  • Nelson K. Dumakor-Dupey
  • Sampurna Arya
Energies (2021) 14 (14): 4079.
Insight in ore grade heterogeneity and potential of bulk ore sorting application for block cave mining
  • Genzhuang Li
  • Bern Klein
  • Chunbao Sun
  • Jue Kou
Minerals Engineering (2021) 170: 106999.
Uncertainty assessment of spatial domain models in early stage mining projects – A review
  • Scott McManus
  • Azizur Rahman
  • Jacqueline Coombes
  • Ana Horta
Ore Geology Reviews (2021) 133: 104098.
Computational modeling and numerical analysis of dynamics of sustainable mining of mineral complexes
  • Erios Naiga Sembatya
  • Susmit Bagchi
Environmental Earth Sciences (2020) 79 (2)
Re-examination of Itakpe iron ore deposit for reserve estimation using geostatistics and artificial neural network techniques
  • Thomas Busuyi Afeni
  • Abiodun Ismail Lawal
  • Rasaq Ayodele Adeyemi
Arabian Journal of Geosciences (2020) 13 (14)
Fuzzy logic approach in resource classification
  • Erkan Ozkan
  • Melih Iphar
  • Adnan Konuk
International Journal of Mining, Reclamation and Environment (2019) 33 (3): 183.
Categorization of Mineral Resources Based on Different Geostatistical Simulation Algorithms: A Case Study from an Iron Ore Deposit
  • Nurassyl Battalgazy
  • Nasser Madani
Natural Resources Research (2019) 28 (4): 1329.
Technical recoverable volume quality evaluation of the offshore faulted block oilfields, determined by two-level fuzzy hierarchy technique
  • Chaochun Li
  • Chenghua Ou
Journal of Petroleum Science and Engineering (2019) 178: 27.
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization
  • Evren Pakyuz-Charrier
  • Mark Lindsay
  • Vitaliy Ogarko
  • Jeremie Giraud
  • Mark Jessell
Solid Earth (2018) 9 (2): 385.
Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo
  • Evren Pakyuz-Charrier
  • Jérémie Giraud
  • Vitaliy Ogarko
  • Mark Lindsay
  • Mark Jessell
Tectonophysics (2018) 747-748: 16.
A quantitative oil and gas reservoir evaluation system for development
  • Zhenhua Rui
  • Jun Lu
  • Zhien Zhang
  • Rui Guo
  • Kegang Ling
  • Ronglei Zhang
  • Shirish Patil
Journal of Natural Gas Science and Engineering (2017) 42: 31.
Increasing the value of heterogeneous ore deposits by high-resolution deposit-modelling and flexible extraction techniques
  • Preetham Nayak
  • Michael Hitch
  • Andrew Bamber
Mining Technology (2017) 126 (3): 139.
An Integrated Approach to Simulate and Validate Orebody Realizations with Complex Trends: A Case Study in Heavy Mineral Sands
  • Tom Wambeke
  • Jörg Benndorf
Mathematical Geosciences (2016) 48 (7): 767.
Importance of good sampling practice throughout the gold mine value chain
  • S. C. Dominy
Mining Technology (2016) 125 (3): 129.
A methodology for the management of risk related to uncertainty on the grade of the ore resources
  • Jose A. Botin
  • Francisco Valenzuela
  • Ronald Guzman
  • Claudia Monreal
International Journal of Mining, Reclamation and Environment (2015) 29 (1): 19.
Optimal costless extraction rate changes from a non-renewable resource
  • G. W. EVATT
  • P. V. JOHNSON
  • P. W. DUCK
  • S. D. HOWELL
European Journal of Applied Mathematics (2014) 25 (6): 681.
Mineral reserves under price uncertainty
  • Geoffrey William Evatt
  • Mousa Omid Soltan
  • Paul V. Johnson
Resources Policy (2012) 37 (3): 340.
Approaches to reporting grade uncertainty in high nugget gold veins
  • S C Dominy
  • W B Edgar
Applied Earth Science (2012) 121 (1): 29.
Solar Energy Demand (SED) of Commodity Life Cycles
  • Benedetto Rugani
  • Mark A. J. Huijbregts
  • Christopher Mutel
  • Simone Bastianoni
  • Stefanie Hellweg
Environmental Science & Technology (2011) 45 (12): 5426.
Quantifying Uncertainty in Mineral Resources by Use of Classification Schemes and Conditional Simulations
  • Xavier Emery
  • Julián M. Ortiz
  • Juan J. Rodríguez
Mathematical Geology (2006) 38 (4): 445.
  • Print ISSN 0964-1823
  • Copyright © 2023 Canadian Institute of Mining, Metallurgy and Petroleum
GeoScienceWorld
  • 1750 Tysons Boulevard, Suite 1500
  • McLean, VA 22102
  • Telephone: 1-800-341-1851
  • Copyright © 2023 GeoScienceWorld
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.
Accept