scholarly journals Resource Modelling of Iron Ore Deposit using Surpac Software

2021 ◽  
Vol 97 (5) ◽  
pp. 559-559
Author(s):  
T. S. Suresh Kumar
Keyword(s):  
Iron Ore ◽  
Ore Deposit ◽  
Iron Ore Deposit ◽  
Resource Modelling

scholarly journals Ore resource modelling of Ajabanoko iron ore deposit, Ajabanoko, Nigeria

2020 ◽  
Vol 9 (1) ◽  
pp. 128
Author(s):  
Adebimpe Rasheed Adeshina ◽  
Akande Jide Muili
Keyword(s):  
Iron Ore ◽  
Mining Operation ◽  
Drill Hole ◽  
Mineral Deposits ◽  
Distance Method ◽  
Ore Deposit ◽  
Ore Body ◽  
Iron Ore Deposit ◽  
Resource Modelling ◽  
Inverse Distance

Ore resource modelling is an essential aspect of mining operation. It is also a crucial pre-mining step required for a successful exploitation of mineral deposits. Ajabanoko iron ore resource model was developed and the ore reserve estimate carried out using inverse distance method as contained in Surpac 6.4.1 mine software. The total number of blocks used for the model is 54,475. Ore estimation result obtained from thirteen drill hole data indicates 38,313,595 tonnes of iron ore and density of 3.65 tonnes/m3. The average grade and total volume of the ore body is 36.36 % and 10,496,595 m3 respectively.  

Exploration of Siling iron ore deposit in Shanxi Province

2019 ◽  
Vol 1 (2) ◽  
pp. 37-41
Author(s):  
Su Kangjie ◽  
Yuan Ya
Keyword(s):  
Iron Ore ◽  
Shanxi Province ◽  
Ore Deposit ◽  
Iron Ore Deposit

THE PILOT KNOB IRON ORE DEPOSIT IN SOUTHEAST MISSOURI, USA: A HIGH-TO-LOW TEMPERATURE MAGMATIC-HYDROTHERMAL CONTINUUM

2019 ◽  
Author(s):  
Bolorchimeg Nanzad ◽  
◽  
Marek Locmelis ◽  
Brandon James Sullivan ◽  
Ryan Mathur
Keyword(s):  
Low Temperature ◽  
Iron Ore ◽  
Ore Deposit ◽  
Southeast Missouri ◽  
Iron Ore Deposit

Three-dimensional geomechanical model of the Tashtagol iron-ore deposit

1998 ◽  
Vol 34 (3) ◽  
pp. 209-216 ◽  
Author(s):  
L. A. Nazarova ◽  
L. A. Nazarov ◽  
A. V. Leont'ev
Keyword(s):  
Iron Ore ◽  
Three Dimensional ◽  
Geomechanical Model ◽  
Ore Deposit ◽  
Iron Ore Deposit

Resource and reserve analysis of Hasançelebi Iron Ore deposit, Turkey

2018 ◽  
pp. 199-202
Author(s):  
B. Elevli ◽  
A. Demirci ◽  
A. Dogan ◽  
G. Onal
Keyword(s):  
Iron Ore ◽  
Ore Deposit ◽  
Iron Ore Deposit

scholarly journals Geophysical surveys of rock mass status of iron ore deposit with combined deep – opencast mining zone

2020 ◽  
Vol 177 ◽  
pp. 02006
Author(s):  
Andrey Vedernikov ◽  
Pavel Zuev ◽  
Danila Grigoriev
Keyword(s):  
Iron Ore ◽  
Diagnostic Method ◽  
Underground Mining ◽  
Opencast Mining ◽  
Combined Method ◽  
Ore Deposit ◽  
Seismic Profiling ◽  
Geophysical Surveys ◽  
Iron Ore Deposit ◽  
Underground Method

Often in deposits developed by underground mining, the task is to control the state of the earth's surface within the mine field. And this problem is even more acute in the case of combined open-underground mining. The Goroblagodatskoe iron ore deposit has been developed by a combined method for more than 40 years. The article describes the methodology and results of applying the geophysical diagnostic method at a mining facility developed by a combined open-underground method - the spectral seismic profiling method (SSP). The application of this method is justified. This method has shown its sufficient efficiency in terms of time costs and sufficient reliability for local studies. The results of field and desk studies are obtained, an assessment of the nature of the object is given, which justifies the use of further measures for the safe development of the object.

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