Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine

Abu Bakarr Jalloh, Kyuro Sasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The unpredictable fluctuations in metal prices, political instability, and socio-economic problems in resource rich areas are among the reasons why the mining industry needs to look for ways to maximize returns of mining projects whilst keeping operating costs at their lowest. In this paper, firstly, the potential of improving exploration programs was investigated using a drillhole data modelling scheme based on the geology of the deposit. Secondly, the application of geostatistical Simulation for mine design was investigated. A dataset consisting of 539 drillholes was used as a case study with grid dimensions of x (3100 m) by y (3800 m). Through drillhole data modelling, the drillholes were segmented into groups using geological features and, based on these features; five (5) possible geological patterns were consttucted. The applicability of geostatistical simulation in mine design was assessed by simulating each geological pattern 500 times to capture the space of uncertainty, and the simulated realizations for each pattern was averaged to produce one block model per pattern. This modelling technique showed how the geological information can be used optimally to reduce drilling requirement during resource evaluation, and from analysis, it was concluded that the project would save of the drilling and sample analysis cost combined by a margin of 32% using this method.

Original languageEnglish
Title of host publicationApplication of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015
PublisherSociety for Mining, Metallurgy and Exploration (SME)
Pages73-84
Number of pages12
ISBN (Electronic)9780873354172
Publication statusPublished - Apr 2015
Event37th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2015 - Fairbanks, United States
Duration: May 23 2015May 27 2015

Other

Other37th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2015
CountryUnited States
CityFairbanks
Period5/23/155/27/15

Fingerprint

Mineral resources
resource assessment
Iron ores
mineral resource
iron ore
Iron
Data structures
Drilling
Resources
Data Modeling
Mineral industry
Geology
drilling
Modeling
Operating costs
modeling
simulation
political instability
Mining
Simulation

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Modelling and Simulation
  • Geochemistry and Petrology

Cite this

Jalloh, A. B., & Sasaki, K. (2015). Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine. In Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015 (pp. 73-84). Society for Mining, Metallurgy and Exploration (SME).

Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine. / Jalloh, Abu Bakarr; Sasaki, Kyuro.

Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015. Society for Mining, Metallurgy and Exploration (SME), 2015. p. 73-84.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jalloh, AB & Sasaki, K 2015, Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine. in Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015. Society for Mining, Metallurgy and Exploration (SME), pp. 73-84, 37th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2015, Fairbanks, United States, 5/23/15.
Jalloh AB, Sasaki K. Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine. In Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015. Society for Mining, Metallurgy and Exploration (SME). 2015. p. 73-84
Jalloh, Abu Bakarr ; Sasaki, Kyuro. / Application of geostatistical simulation for mineral resource estimation by modelling of drillhole data-case study on an iron ore mine. Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015. Society for Mining, Metallurgy and Exploration (SME), 2015. pp. 73-84
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