Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Delineation of iron alteration zones using the spectrum-area fractal model and TOPSIS decision-making method in Tarom metallogenic zone, NW Iran

Mohammad Mahdi Pourgholam; Peyman Afzal; Ahmad Adib; Kambiz Rahbar; Mehran Gholinejad

Articles in Press, Accepted Manuscript, Available Online from 27 June 2022


  Signal analysis approaches are a powerful and widely used tool in processing multi-spectral satellite images for detection of alteration zones. The main goal of this work is application of the spectrum-area fractal methodology based on the Landsat 8 OLI satellite images’ data for separation alteration ...  Read More

Identification of Alteration Zones using ASTER Data for Metallic Mineralization in Ahar region, NW Iran

F. Mirsepahvand; M.R. Jafari; P. Afzal; M. A. Arian

Volume 13, Issue 1 , January 2022, , Pages 309-324


  The goal of this research work is to recognize the metallic mineralization potential in the Ahar 1:100,000 sheet (NW Iran) using the remote sensing data based on determination of the alteration zones. This area is located in the Ahar-Arasbaran metallogenic zone as a significant metallogenic zone in Iran ...  Read More

Delineation of Gas Content Zones Using N-S Fractal Model in Coking Coal Deposits

N. R. Ahmadi; P. Afzal; A. B. Yasrebi

Volume 12, Issue 1 , January 2021, , Pages 181-189


  This work aims to classify the gas content zones for coking coal deposits using a Number-Size (N-S) fractal modeling considering the explosive and free gas data. The case study is the C1 coking coal seam in the Parvadeh-4 coal deposit in the central Iran. Following this, the N-S log-log plots are created, ...  Read More

A Comprehensive Study of Several Meta-Heuristic Algorithms for Open-Pit Mine Production Scheduling Problem Considering Grade Uncertainty

K. Tolouei; E. Moosavi; A.H. Bangian Tabrizi; P. Afzal; A. Aghajani Bazzazi

Volume 11, Issue 3 , July 2020, , Pages 721-736


  It is significant to discover a global optimization in the problems dealing with large dimensional scales to increase the quality of decision-making in the mining operation. It has been broadly confirmed that the long-term production scheduling (LTPS) problem performs a main role in mining projects to ...  Read More

Detection of Zones Based on Ore and Gangue Using Fractal and Multivariate Analysis in Chah Gaz Iron Ore Deposit, Central Iran

M. Mirzaie; P. Afzal; A. Adib; E. Rahimi; Gh. Mohammadi

Volume 11, Issue 2 , April 2020, , Pages 453-466


  Detection of mineralized zones based on ores and gangues is important for mine planning and excavation operation. The major goal of this research work was to determine the zones based on ores and gangues by a combination of fractal and factor analysis in the Chah Gaz iron ore (Central Iran). The Concentration-Volume ...  Read More

Delineation of podiform-type chromite mineralization using geochemical mineralization prospectivity index and staged factor analysis in Balvard area (SE Iran)

P. Afzal; M. Yusefi; M. Mirzaie; E. Ghadiri-Sufi; S. Ghasemzadeh; L. Daneshvar Saein

Volume 10, Issue 3 , July 2019, , Pages 705-715


  The aim of this work was to delineate the prospects of podiform-type chromite by staged factor analysis and geochemical mineralization prospectivity index in Balvard area, SE Iran. The stream sediment data and fault density were used as the exploration features for prospectivity modeling in the studied ...  Read More

Comparing ordinary kriging and advanced inverse distance squared methods based on estimating coal deposits; case study: East-Parvadeh deposit, central Iran

P. Afzal

Volume 9, Issue 3 , July 2018, , Pages 753-760


  Finding a proper estimation method for ore resources/reserves is important in mining engineering. The aim of this work is to compare the Ordinary Kriging (OK) and Advanced Inverse Distance Squared (AIDS) methods based on the correlation between the raw and estimated data in the East-Parvadeh coal deposit, ...  Read More

Application of spectrum-volume fractal modeling for detection of mineralized zones

H. Khalili; P. Afzal

Volume 9, Issue 2 , April 2018, , Pages 371-378


  The main goal of this research work was to detect the different Cu mineralized zones in the Sungun porphyry deposit in NW Iran using the Spectrum-Volume (S-V) fractal modeling based on the sub-surface data for this deposit. This operation was carried out on an estimated Cu block model based on a Fast ...  Read More