Multivariate geostatistical simulation of the Gole Gohar iron ore deposit, Iran
نویسندگان
چکیده
منابع مشابه
environmental effects of gol-e-gohar iron ore mine on groundwater of the area
gol-e-gohar iron ore mine of sirjan in southern part of iran is a large open pit that operates below the groundwater table and during mining operation, dewatering is required to prevent operation processes from flooding. current operation is going on by digging wells in or out of the pit and pumping to prevent flooding. as a result of the former dewatering operation a vast deep cone of depressi...
Feasibility study of Gol-Gohar iron ore open cast mine operation of Iran
Feasibility study of the mining operation is one of the most important parts of the total mineral exploitation process. The economic importance of this, increases with the size of the mineral reserves. Gol-Gohar is one of the largest iron ore mines in Iran with an annual output of some 11 million tons. In this paper, the total costs associated with Gol-Gohar open cast mine have been calculated....
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Truncated Gaussian Simulation (TGS) is a well-known method to generate realizations of the ore domains located in a spatial sequence. In geostatistical framework geological domains are normally utilized for stationary assumption. The ability to measure the uncertainty in the exact locations of the boundaries among different geological units is a common challenge for practitioners. As a simple a...
متن کاملMultivariate geostatistical analysis: an application to ore body evaluation
It is now common in the mining industry to deal with several correlated attributes, which need to be jointly simulated in order to reproduce their correlations and assess the multivariate grade risk reasonably. Approaches to multivariate simulation which remove the correlation between attributes of interest prior to simulate and then re-impose the relationship afterward have been gaining popula...
متن کاملThe Application of Artificial Neural Networks to Ore Reserve Estimation at Choghart Iron Ore Deposit
Geo-statistical methods for reserve estimation are difficult to use when stationary conditions are not satisfied. Artificial Neural Networks (ANNs) provide an alternative to geo-statistical techniques while considerably reducing the processing time required for development and application. In this paper the ANNs was applied to the Choghart iron ore deposit in Yazd province of Iran. Initially, a...
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ژورنال
عنوان ژورنال: Journal of the Southern African Institute of Mining and Metallurgy
سال: 2016
ISSN: 2411-9717
DOI: 10.17159/2411-9717/2016/v116n5a8