A. R. Sayadi; M. Yavari; N. Solgi
Abstract
Exploration projects need considerable investments. These projects are associated with high techno-economical risks. Therefore, Evaluation of exploration potential is necessary. It is determined in primary stages of exploration whether the deposit reserve is not economic or the ...
Read More
Exploration projects need considerable investments. These projects are associated with high techno-economical risks. Therefore, Evaluation of exploration potential is necessary. It is determined in primary stages of exploration whether the deposit reserve is not economic or the grade is less than normal grade, and it may be decided to stop the project. The minimum acceptable target reserve is known as a criterion for determining the economic potential of deposit regarding to techno-economical environment of project. In this research a new model is proposed for determining minimum acceptable target reserves in gold projects. This model is verified through the economic filed data from Zarshpran gold mine. The graph of grade versus tonnage and internal rate of return versus tonnage are demon stared through Excel software. The results of this research could be used as powerful decision making tools in gold exploration projects.
A. Sayadi; M. Manjezi; H. Shahr Abadi
Abstract
Reserve evaluation is one of the most important parameters for mine designing and several methods have been developed in this regards. Among these methods, in addition to geostatistical methods, artificial methods such as Artificial Neural Networks (ANN) are suitable for reserve evaluation. In this research, ...
Read More
Reserve evaluation is one of the most important parameters for mine designing and several methods have been developed in this regards. Among these methods, in addition to geostatistical methods, artificial methods such as Artificial Neural Networks (ANN) are suitable for reserve evaluation. In this research, geometrical and block model of ٍEsfordi phosphate mine are prepared and the reserve is estimated. The block model contains 100 thousand blocks with dimensions of 25×25×5 m. To estimate the grade of each block,both methods of geostatistical and ANN methods are used. For geostatistical estimation, normal kriging is applied. In ANN a perceptron multilayer network is used and for training of network LM method is considered. Based on geostatistical and ANN methods, the amount of estimated reserve is 16.5 Mt with an average grade of 11.44% and 17.5 Mt with an average grade of 11.83%, respectively, considering a cut-off grade of 6%. The results obtained from these two methods are identical to each other and difference is less than 6%. This estimation is a requisite for improving present design of the mine with an objective of selective mining up to sea level of +1720.