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Browsing Articles by Author "6797f3dd-78f6-4818-8cd4-db76ee87855f"

Now showing items 1-5 of 5

Categorization of Mineral Resources Based on Different Geostatistical Simulation Algorithms: A Case Study from an Iron Ore Deposit

Battalgazy, Nurassyl; Madani, Nasser (Natural Resources Research, 2019-03)

Mineral resource classification plays an important role in the downstream activities of a mining project. Spatial modeling of the grade variability in a deposit directly impacts the evaluation of recovery functions, such ...
Mineral Resource Assessment in Complex Ore Deposits based on International Standards

Battalgazy, Nurassyl; Madani, Nasser (The Complex Orebodies conference, 2018-11-19)

Geostatistical simulation has been widely used in mineral resource classification of metalliferous deposits based on international standards such as JORC code. However, the modeling process becomes challenging whenever the ...
Probabilistic Domaining of Aluminum Areas in Iron Deposits

Battalgazy, Nurassyl; Madani, Nasser (25th World Mining Congress 2018. Proceedings. Geological Exploration., 2018)

Geostatistical modeling of Iron grade (Fe) in metalliferous deposits is a rationale stage in further analysis of mine design such as mine planning and mineral processing plant optimization. This procedure is becoming ...
Stochastic Modeling of Chemical Compounds in a Limestone Deposit by Unlocking the Complexity in Bivariate Relationships

Battalgazy, Nurassyl; Madani, Nasser (MDPI, 2019-11-04)

Modeling multivariate variables with complexity in a cross-correlation structure is always applicable to mineral resource evaluation and exploration in multi-element deposits. However, the geostatistical algorithm for such ...
Uncertainty quantification of rock quality designation at the Gazestan phosphate deposit

Madani, Nasser; Yagiz, S.; Adoko, A.C.; Battalgazy, Nurassyl (Geometallurgy Conference 2018, Back to the Future Cape Town, (6-8 August 2018). The Southern African Institute of M ining and Metallurgy, 2018-08-06)

Several geomechanical variables reflect the characteristics of rock masses and in recent years have been considered as the geometallurgical responses in the mining industry. These variables have a great effect on the ...