determination of ore domain using distance function and truncated Gaussian simulation, case study Gol gohar iron ore

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Amirpoorsaeed Fatemeh; ASGHARI OMID

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Paper Information

Journal: IRANIAN JOURNAL OF MINING ENGINEERING (IRJME) Year:2018 | Volume:13 | Issue:40 Page(s): 95-107

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Title

determination of ore domain using distance function and truncated Gaussian simulation, case study Gol gohar iron ore

Author(s)

Amirpoorsaeed Fatemeh | ASGHARI OMID | Issue Writer Certificate

Keywords

GeostatisticsQ2

Ore DomainQ1

Truncated Gaussian simulationQ1

Distance FunctionQ1

Abstract

Determination of ore body domain is the main step at the beginning of a mining project. The mine designing, mining and processing plant planning would be implemented based on this domain. Traditional methods characterize this domain graphically without considering error and uncertainty, but Geostatistics is a powerful tool, capable of determining this domain using spatial statistics. Ore Domain is a district variable that can be modeled by different simulation methods, such as Truncated Gaussian simulation (TGS). TGS simulates the domain according to the simulation of a Gaussian function and the rock type rule. Also, there are simple equations that can be applied for determination of Ore Domain, for example, Distance Function (DF) methods. DF defines the ore boundary by the Euclidian distance between two different points, then calibrating these distance values. In this study, statistical and geostatistical validations were applied to find the best simulation. The DF and TGS results were compared by assessing confusion matrices, overall error, and precision of the modeled domains. Moreover, different plans, and sections were qualitatively compared. Qualitative validations and comparisons, along with statistical and geostatistical validations indicated that TGS is a more efficient way to model the Ore Domain. Both methods were applied to study Gol-e-Gohar mine and results showed that in comparison with DF, TGS is capable of creating more precise domain simulations. In smaller scales, TGS algorithm is able to reproduce anisotropies better, while in larger scales DF can reproduce variability and anisotropies better than TGS algorithm.

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APA: Copy

Amirpoorsaeed, Fatemeh, & ASGHARI, OMID. (2018). determination of ore domain using distance function and truncated Gaussian simulation, case study Gol gohar iron ore. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), 13(40 ), 95-107. SID. https://sid.ir/paper/117037/en

Vancouver: Copy

Amirpoorsaeed Fatemeh, ASGHARI OMID. determination of ore domain using distance function and truncated Gaussian simulation, case study Gol gohar iron ore. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME)[Internet]. 2018;13(40 ):95-107. Available from: https://sid.ir/paper/117037/en

IEEE: Copy

Fatemeh Amirpoorsaeed, and OMID ASGHARI, “determination of ore domain using distance function and truncated Gaussian simulation, case study Gol gohar iron ore,” IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), vol. 13, no. 40 , pp. 95–107, 2018, [Online]. Available: https://sid.ir/paper/117037/en

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