Model Selection for Mineral Resource Assessment Considering Geological and Grade Uncertainties: Application of Multiple-Point Geostatistics and a Cluster Analysis to an Iron Deposit-Reference-Cited by-同舟云学术

Model Selection for Mineral Resource Assessment Considering Geological and Grade Uncertainties: Application of Multiple-Point Geostatistics and a Cluster Analysis to an Iron Deposit

Published:2021-02-07 Issue:3 Volume:30 Page:2047-2065
ISSN:1520-7439
Container-title:Natural Resources Research
language:en
Short-container-title:Nat Resour Res

Author:

Hong Jinpyo^ORCID,Oh Seokhoon^ORCID

Funder

Ministry of Education

Korea Meteorological Administration

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s11053-021-09813-9.pdf

Reference69 articles.

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3. Al-Mudhafar, W. J. (2017). Geostatistical lithofacies modeling of the upper sandstone member/Zubair formation in south Rumaila oil field Iraq. Arabian Journal of Geosciences, 10(6), 153.

4. Ankerst, M., Breunig, M. M., Kriegel, H. P., & Sander, J. (1999). OPTICS: ordering points to identify the clustering structure. ACM Sigmod record, 28(2), 49–60.

5. Arpat, G. B., & Caers, J. (2007). Conditional simulation with patterns. Mathematical Geology, 39(2), 177–203.

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