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)
Ore Deposit Boundary Modification in Afghanistan Aynak Central Copper Deposit using Sequential Indicator Simulation and Indicator Kriging

Shah Hussain Shafayi; Farhad Mohammad Torab

Articles in Press, Accepted Manuscript, Available Online from 24 April 2022

http://dx.doi.org/10.22044/jme.2022.11557.2142

Abstract
  The Aynak copper deposit is the most important strata-bound copper reserve in Afghanistan. The main purpose of this work is the ore deposit boundary modification and reserve estimation of the Aynak central copper deposit using the geostatistical methods. The ordinary kiging (OK), indicator kriging (IK) ...  Read More

Exploitation
Ant colony algorithm as a high-performance method in resource estimation using LVA field; A case study: Choghart Iron ore deposit

H. Moini; F. Mohammad Torab

Volume 10, Issue 3 , July 2019, , Pages 667-678

http://dx.doi.org/10.22044/jme.2019.7915.1658

Abstract
  Kriging is an advanced geostatistical procedure that generates an estimated surface or 3D model from a scattered set of points. This method can be used for estimating resources using a grid of sampled boreholes. However, conventional ordinary kriging (OK) is unable to take locally varying anisotropy ...  Read More

Environment
Discriminating copper geochemical anomalies and assessment of their reliability using a combination of sequential Gaussian simulation and gap statistic methods in Hararan area, Kerman, Iran

S. Abbaszade; F. Mohammad Torab; A. Alikhani; H. Molayemat

Volume 10, Issue 1 , January 2019, , Pages 75-86

http://dx.doi.org/10.22044/jme.2018.7037.1546

Abstract
  In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques are usually utilized to estimate the threshold value, which is the smallest quantity among the values representing the anomalous ...  Read More

Evaluation of coalbed methane potential in Parvadeh IV coal deposit in central Iran using a combination of MARS modeling and Kriging

H. Molayemat; F. Mohammad Torab

Volume 8, Issue 2 , April 2017, , Pages 305-319

http://dx.doi.org/10.22044/jme.2017.874

Abstract
  Coalbed methane (CBM) plays an important role in coal mining safety and natural gas production. In this work, The CBM potential of B2 seam in Parvadeh IV coal deposit, in central Iran, was evaluated using a combination of local regression and geostatistical methods. As there were 30 sparse methane sampling ...  Read More

Estimation of Cadmium and Uranium in a stream sediment from Eshtehard region in Iran using an Artificial Neural Network

F. Razavi Rad; F. Mohammad Torab; A. Abdollahzadeh

Volume 7, Issue 1 , January 2016, , Pages 97-107

http://dx.doi.org/10.22044/jme.2016.500

Abstract
  Considering the importance of Cd and U as pollutants of the environment, this study aims to predict the concentrations of these elements in a stream sediment from the Eshtehard region in Iran by means of a developed artificial neural network (ANN) model. The forward selection (FS) method is used to select ...  Read More