BLOCK MODEL OPTIMIZATION AND RESOURCE ESTIMATION OF THE ANGOURAN MINE BY TRANSFERRING THE EXPLORATORY DATA FROM THE LOCAL COORDINATE SYSTEM TO THE UTM Article Swipe
Mohammad Rezaei
,
Siavash Fallahi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.17794/rgn.2023.3.1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.17794/rgn.2023.3.1
Resource estimation is one of the most important steps in the mining process. Precise resource estimation has a significant influence on the optimization of subsequent mining steps, i.e. mine planning and scheduling. The previous resource estimation in the Angouran Mine was conducted based on the provided information in the local coordinate system which causes considerable errors in estimations. Therefore, an attempt is made in this research to optimize the block model of the Angouran Mine and resource estimation based on the information in the UTM global coordinate system. For this purpose, exploratory data is firstly transferred from the local coordinate system to the UTM environment. Then, block model optimization is conducted using indicator kriging (IK) in which the waste blocks are removed and the block model was optimized. Finally, resource estimation is performed using the inverse distance weighting (IDW) and simple kriging (SK) methods. After variogram analyses in different directions, it was found that the mine deposit is anisotropic. Also, validation results showed that the acquired correlation coefficient in the carbonate and sulfide sections for IDW, SK and IK is 0.86, 0.87 and 0.92, and 0.88, 0.87 and 0.92, respectively. Finally, the obtained grades and tonnages are compared with the actual data of the exploratory boreholes, mined blocks and previous resource estimation in the mine. Comparative results showed that the obtained grades and tonnages from both previous and new models are over-estimated and higher than the actual values. The minimum errors of grade estimation equal 46% and 23.1% for previous and new resource estimations (before and after the waste removal), respectively. Also, the mining errors of tonnage estimation are 50.29% and 28.37% for previous and new models, respectively. This field comparison proved that transferring the exploratory data to the UTM system, utilization of the IK to remove the waste blocks and applying the SK for resource estimation lead to the optimization of the block model and a reduction in the estimation error compared to the previous estimations for the mine.
Related Topics
Concepts
Kriging
Computer science
Variogram
Resource (disambiguation)
Estimation
Block (permutation group theory)
Weighting
Borehole
Data mining
Coordinate system
Block model
Mining engineering
Mathematics
Geology
Artificial intelligence
Engineering
Machine learning
Geotechnical engineering
Computer network
Geometry
Radiology
Medicine
Systems engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17794/rgn.2023.3.1
- OA Status
- diamond
- Cited By
- 4
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386107144
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386107144Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.17794/rgn.2023.3.1Digital Object Identifier
- Title
-
BLOCK MODEL OPTIMIZATION AND RESOURCE ESTIMATION OF THE ANGOURAN MINE BY TRANSFERRING THE EXPLORATORY DATA FROM THE LOCAL COORDINATE SYSTEM TO THE UTMWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Mohammad Rezaei, Siavash FallahiList of authors in order
- Landing page
-
https://doi.org/10.17794/rgn.2023.3.1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.17794/rgn.2023.3.1Direct OA link when available
- Concepts
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Kriging, Computer science, Variogram, Resource (disambiguation), Estimation, Block (permutation group theory), Weighting, Borehole, Data mining, Coordinate system, Block model, Mining engineering, Mathematics, Geology, Artificial intelligence, Engineering, Machine learning, Geotechnical engineering, Computer network, Geometry, Radiology, Medicine, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Faculty of Mining, Geology and Petroleum Engineering |
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| publication_date | 2023-01-01 |
| publication_year | 2023 |
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