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)
Ant colony algorithm as a high-performance method in resource estimation using LVA field; A case study: Choghart Iron ore deposit
1. 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 , Summer 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 ...  Read More
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
2. 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 , Winter 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 ...  Read More
Evaluation of coalbed methane potential in Parvadeh IV coal deposit in central Iran using a combination of MARS modeling and Kriging
3. 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 , Spring 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, ...  Read More
Estimation of Cadmium and Uranium in a stream sediment from Eshtehard region in Iran using an Artificial Neural Network
4. 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 , Winter 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 ...  Read More