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

The 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...

Quantitative Leaching of a Nigerian Iron Ore in Hydrochloric Acid

A study on the quantitative leaching of iron ore in hydrochloric acid solution has been undertaken. The elemental composition of the iron ore was also carried out using ICP-MS technique. The major elements in the iron ore include: Fe(66.7%); Al (0.2%); Si (5.2%); Ti (0.02%) and O (28.0%). Some traces of V, Ni, Zn, Ce, Cr, La, Y and Zr were also found. The effects of contact time, acid concentra...

Ore Deposit Types and Their Primary Expressions

Metals are largely derived from the mantle or crust by partial melting and fluid-related leaching. Ligands can be provided from the same sources, or from the atmosphere, hydrosphere and biosphere. Transport is mainly by mechanical or mass transfer mechanisms and by fluids. On and near the surface, biological processes can also concentrate and transport ore components or remove non-ore component...

Iron Ore Rock Recognition Trials

Carbon Monoxide Reduction of Iron Ore

C ERTAIN attention is paid today to the weaknesses of the classical blast furnace process, and interest is continuously increasing in methods for direct reduction without melting. Several different methods have been developed or suggested in the past, but so far only a few have been adopted for practical use. Another tendency in the iron industry of today is the change-over to concentrates, wit...