Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran
Estimation of Rock Quality Designation (RQD) distribution with low value of error is crucial for mining excavation based on geomechanical data. This paper proposes an application of an Inverse Distance Weighted Anisotropic Method (IDWAM) based on combined variograms to construct RQD block model in K...
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University of Belgrade, Technical Faculty Bor
2019-01-01
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doaj-0b5053a4aded4d3fba5723f62e4125642020-11-25T02:41:17ZengUniversity of Belgrade, Technical Faculty BorJournal of Mining and Metallurgy. Section A: Mining1450-59592560-31592019-01-015511151450-59591901001XApplication of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central IranYasrebi A.B.0Hezarkhani A.1Afzal P.2Madani N.3Amirkabir University of Technology, Tehran Polytechnic, Department of Mining and Metallurgical Engineering, Tehran, IranAmirkabir University of Technology, Tehran Polytechnic, Department of Mining and Metallurgical Engineering, Tehran, IranIslamic Azad University, Department of Mining Engineering, South Tehran branch, Tehran, IranNazarbayev University, School of Mining and Geosciences, Astana, KazakhstanEstimation of Rock Quality Designation (RQD) distribution with low value of error is crucial for mining excavation based on geomechanical data. This paper proposes an application of an Inverse Distance Weighted Anisotropic Method (IDWAM) based on combined variograms to construct RQD block model in Kahang Copper-Molybdenum (Cu-Mo) porphyry deposit, Central Iran, using subsurface data. To do this, an appropriate voxel size was calculated and then RQD variography was carried in horizontal and vertical directions. In addition, Deere and Miller rock classification was used to classify RQD block model for a final open pit interpretation. Finally, correlation between results for RQD estimated derived via the IDWAM and raw data was carried out using jackknife method. The results obtained by the combination of IDWAM and experimental variogram showed that the excellent RQD zones are located in the central and North Western parts of this area.https://scindeks-clanci.ceon.rs/data/pdf/1450-5959/2019/1450-59591901001X.pdfrock quality designation (rqd) distributioninverse distance weighted anisotropic method (idwam)combined variogramskahang deposit |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yasrebi A.B. Hezarkhani A. Afzal P. Madani N. |
spellingShingle |
Yasrebi A.B. Hezarkhani A. Afzal P. Madani N. Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran Journal of Mining and Metallurgy. Section A: Mining rock quality designation (rqd) distribution inverse distance weighted anisotropic method (idwam) combined variograms kahang deposit |
author_facet |
Yasrebi A.B. Hezarkhani A. Afzal P. Madani N. |
author_sort |
Yasrebi A.B. |
title |
Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran |
title_short |
Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran |
title_full |
Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran |
title_fullStr |
Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran |
title_full_unstemmed |
Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran |
title_sort |
application of an inverse distance weighted anisotropic method for rock quality designation distribution in eastern kahang deposit, central iran |
publisher |
University of Belgrade, Technical Faculty Bor |
series |
Journal of Mining and Metallurgy. Section A: Mining |
issn |
1450-5959 2560-3159 |
publishDate |
2019-01-01 |
description |
Estimation of Rock Quality Designation (RQD) distribution with low value of error is crucial for mining excavation based on geomechanical data. This paper proposes an application of an Inverse Distance Weighted Anisotropic Method (IDWAM) based on combined variograms to construct RQD block model in Kahang Copper-Molybdenum (Cu-Mo) porphyry deposit, Central Iran, using subsurface data. To do this, an appropriate voxel size was calculated and then RQD variography was carried in horizontal and vertical directions. In addition, Deere and Miller rock classification was used to classify RQD block model for a final open pit interpretation. Finally, correlation between results for RQD estimated derived via the IDWAM and raw data was carried out using jackknife method. The results obtained by the combination of IDWAM and experimental variogram showed that the excellent RQD zones are located in the central and North Western parts of this area. |
topic |
rock quality designation (rqd) distribution inverse distance weighted anisotropic method (idwam) combined variograms kahang deposit |
url |
https://scindeks-clanci.ceon.rs/data/pdf/1450-5959/2019/1450-59591901001X.pdf |
work_keys_str_mv |
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