Peyman Afzal

Prospecting of gold mineralization in Saqez area (NW Iran) using geochemical, geophysical and geological studies based on multifractal modelling and principal component analysis

The aim of this study is to find gold prospecting areas based on geological, geochemical and geophysical data in Saqez area, NW of Iran. In order to achieve this task data, the analysis of 448 stream sediment samples are used to determine elemental correlations using bivariate and multivariate correlation methods, such as Spearman and principal component analysis (PCA). Afterwards, concentration–number multifractal model is used to delineate anomaly thresholds from the background for Au, As, Bi, Hg and first factor of the PCA. Moreover, for studying structures such as faults, fractures, and lithological contacts and their relationship with Au anomalies, the edges of magnetic anomalies are detected from aeromagnetic data based on an enhanced multilevel edge detection method. Subsequently, the geochemical anomalies and the extracted lineaments are correlated with geological particulars which are located in the catchment basins of anomalous areas to specify favourable host rocks and to study possible types of gold mineralization.

Determination of an optimum voxel size based on statistical methods in the Kahang Cu porphyry deposit, Central Iran

The aim of this study is to determine an optimum voxel size in the Kahang Cu porphyry deposit (Central Iran) using statistical parameters and vector analysis based on the 26 drilled boreholes. The mean, median and Median Absolute Deviation (MAD) were calculated for total distances between 14 pairs of closest boreholes in terms of X and Y directions. Based on the results, three block models were determined with 3 x 3 x 10 m3, 4 x 4 x 10 m3 and 5 x 5 x 10 m3 of voxel volumes for Cu distribution utilising inverse distance weighted (IDW) method. According to calculation of Non-Zero voxel numbers and decreasing of standard deviations and Cu average values, the block model with 4 x 4 x 10 m3 voxel sizes determined as an optimum block model.

Significant Factors That Influence Motivation of Employees within the Mining Sector

In the past, many studies relating to staff motivation within the workplace have been conducted for the mining sector. Of course, motivated employees are the main key to achieving success of any organisation. However, the goal of this paper is to identify factors and behaviours which principally motivate staff within the mining sector. In order to determine these elements, this research was carried out at different copper mines located within Iran with differing climates and working conditions by the collection of a set of questionnaires distributed amongst the mining workforce. The results of this research indicate that the highest rates of demotivation occur often among old and experienced personnel in comparison to the younger employees although older staff definitely has the talent and initiative of younger personnel. As a result, older employees continue to work with cynicism, negativism and defiance. To successfully control and correspondingly overcome the problem of employees’ demotivation that appears to prevent the mining sector from achieving their planned targets, a set of proposals based on this study have been recommended.