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)
Bayesian Data Fusion: a Reliable Approach for Descriptive Modeling of Ore Deposits

B. Tokhmechi; S. Ebrahimi; H. Azizi; Seyed R. Ghavami-Riabi; N. Farrokhi

Volume 11, Issue 1 , January 2020, , Pages 63-76


  Recognition of ore deposit genesis is still a controversial challenge for economic geologists. Here, this task was addressed by the virtue of Bayesian data fusion (BDF) implementing available proofs: semi-schematic examples with two (Cu and Pb + Zn) and three (Cu, Pb + Zn and Ag) evidences. The data, ...  Read More

Estimation of geochemical elements using a hybrid neural network-Gustafson-Kessel algorithm

M. Jahangiri; Seyed R. Ghavami Riabi; B. Tokhmechi

Volume 9, Issue 2 , April 2018, , Pages 499-511


  Bearing in mind that lack of data is a common problem in the study of porphyry copper mining exploration, our goal was set to identify the hidden patterns within the data and to extend the information to the data-less areas. To do this, the combination of pattern recognition techniques has been used. ...  Read More

Spatial modelling of zonality elements based on compositional nature of geochemical data using geostatistical approach: a case study of Baghqloom area, Iran

S. Talesh Hosseini; O. Asghari; Seyed R. Ghavami Riabi

Volume 9, Issue 1 , January 2018, , Pages 153-167


  Due to the existence of a constant sum of constraints, the geochemical data is presented as the compositional data that has a closed number system. A closed number system is a dataset that includes several variables. The summation value of variables is constant, being equal to one. By calculating the ...  Read More

Investigation of blind massive sulphide deposit signatures in the calcrete layers as a geochemical barrier: A case study of Areachap, Kantienpan and Copperton deposits

Reza Ghavami-Riabi; H.F.J Theart

Volume 2, Issue 2 , July 2011, , Pages 86-101


  The trace element contents on the surface originated from mineralization would depend to the thickness of the calcrete layer above the ore deposit on the surface. A very thick layer of calcrete may not allow for much dispersion of the elements of interest in the surface. These elements may be concentrated ...  Read More