Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms

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Nouri Zonouz Zahra; ASGHARI OMID; FAHIMINIA MOHAMMAD

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Journal: IRANIAN JOURNAL OF MINING ENGINEERING (IRJME) Year:2021 | Volume:16 | Issue:50 Page(s): 1-13

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Information Journal Paper

Title

Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms

Author(s)

Nouri Zonouz Zahra | ASGHARI OMID | FAHIMINIA MOHAMMAD | Issue Writer Certificate

Keywords

Geometallurgical ModellingQ2

estimationQ1

SimulationQ2

Epithermal GoldQ1

Sari GunayQ1

Abstract

With the increase in complexity of mineral deposits, understanding the grade variability is of high significance in getting enough information about the deposit, preventing financial losses and identifying optimized plans during and after exploitation. Likewise, mineralogical variability, grade, alteration, … can highly effect metal recovery. Modeling these parameters is seriously substantial in order to have an optimized exploitation of the mine and to minimize the risks and costs. This study used the dataset of 91 drill holes from Sari Gunay Epithermal Gold deposit located in north-west of Iran to model gold grade and the recovery resulted from leaching tests. Initially, the oxide and sulphide zones were distinguished using Indicator Kriging and Simulation. Then the gold grade and recovery in each zone were modeled with the application of sequential Gaussian Simulation and the developed block model. The grade-recovery curve was then drawn to estimate the total tonnage amount of the deposit which was related to the sulphide zone in more than 70%. Then with the help of recovery Simulation data, the grade×recovery was considered a preferable parameter in depicting the curve and estimating the reserve.

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APA: Copy

Nouri Zonouz, Zahra, ASGHARI, OMID, & FAHIMINIA, MOHAMMAD. (2021). Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), 16(50 ), 1-13. SID. https://sid.ir/paper/412202/en

Vancouver: Copy

Nouri Zonouz Zahra, ASGHARI OMID, FAHIMINIA MOHAMMAD. Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME)[Internet]. 2021;16(50 ):1-13. Available from: https://sid.ir/paper/412202/en

IEEE: Copy

Zahra Nouri Zonouz, OMID ASGHARI, and MOHAMMAD FAHIMINIA, “Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms,” IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), vol. 16, no. 50 , pp. 1–13, 2021, [Online]. Available: https://sid.ir/paper/412202/en

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