Volume 15 (2024)
Volume 14 (2023)
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)
Mineral Prospectivity modeling with airborne geophysics and geochemistry data, A case study of Shahr-e-Babak study area, southeastern Iran

Moslem Jahantigh; Hamid Reza Ramazi

Articles in Press, Accepted Manuscript, Available Online from 22 February 2024


  The present paper gives out data-driven method with airborne magnetic data, airborne radiometric data, and geochemistry data. The purpose of this study is to create a mineral potential model of the Shahr-e-Babak studied area. The studied area is located in the south-eastern of Iran. The various evidential ...  Read More

Integration of airborne geophysics data with fuzzy c-means unsupervised machine learning method to predict geological map, Shahr-e-Babak study area, Southern Iran

Moslem Jahantigh; Hamid Reza Ramazi

Articles in Press, Accepted Manuscript, Available Online from 21 April 2024


  Fuzzy c-means (FCM) is an unsupervised machine learning algorithm. This method assists in integrating airborne geophysics data and extracting automatic geological map. This paper tries to combine airborne geophysics data consisting of aeromagnetic, potassium, and thorium layers to classify the lithological ...  Read More

A New 3D Model for Shear Wave Velocity by Utilizing Conventional Petrophysical Logs and Geostatistical Method

Sh. Maleki; H. R. Ramazi; M. J. Ameri Shahrabi

Volume 13, Issue 2 , April 2022, , Pages 431-447


  Shear wave velocity (Vs) is considered as a key parameter in determination of the subsurface geomechanical properties in any hydrocarbon-bearing reservoir. During a well logging operation, the magnitude of Vs can be directly measured through the dipole shear sonic imager (DSI) logs. On a negative note, ...  Read More

A programming method to estimate proximate parameters of coal beds from well-logging data using a sequential solving of linear equation systems

A. Yusefi; H. R. Ramazi

Volume 10, Issue 3 , July 2019, , Pages 633-647


  This paper presents an innovative solution for estimating the proximate parameters of coal beds from the well-logs. To implement the solution, the C# programming language was used. The data from four exploratory boreholes was used in a case study to express the method and determine its accuracy. Then ...  Read More

3D model construction of induced polarization and resistivity data with quantifying uncertainties using geostatistical methods and drilling (Case study: Madan Bozorg, Iran)

K. Mostafaei; H. R. Ramazi

Volume 9, Issue 4 , October 2018, , Pages 857-872


  Madan Bozorg is an active copper mine located in NE Iran, which is a part of the very wide copper mineralization zone named Miami-Sabzevar copper belt. The main goal of this research work is the 3D model construction of the induced polarization (IP) and resistivity (Rs) data with quantifying the uncertainties ...  Read More