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)
Facies Quality Zoning in Shale Gas by Deep Learning Method

Y. Asgari Nezhad; A. Moradzadeh

Volume 12, Issue 1 , January 2021, , Pages 271-280

https://doi.org/10.22044/jme.2021.10366.1983

Abstract
  One of the most essential factors involved in unconventional gas reserves for drilling and production is a suitable quality facies determination. The direct core and geochemical analyses are the most common methods used for studying this quality. Due to the lack of this data and the high cost, the researchers ...  Read More

An improvement in RTM method to image steep dip petroleum bearing structures and its superiority to other methods

F. Moradpouri; A. Moradzadeh; R. Cruz Pestana; M. Soleimani Monfared

Volume 8, Issue 4 , October 2017, , Pages 573-578

https://doi.org/10.22044/jme.2016.635

Abstract
  In this paper, first the limitations of the ray-based method and the one-way wave-field extrapolation migration (WEM) in imaging steeply dipping structures are discussed by some examples. Then a new method of the reverse time migration (RTM), used in imaging such complex structures is presented. The ...  Read More

A new stochastic 3D seismic inversion using direct sequential simulation and co-simulation in a genetic algorithm framework

H. Sabeti; A. Moradzadeh; F. Doulati Ardejani; A. Soares

Volume 8, Issue 3 , July 2017, , Pages 321-335

https://doi.org/10.22044/jme.2016.628

Abstract
  Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure ...  Read More

3D gravity data-space inversion with sparseness and bound constraints

M. Rezaie; A. Moradzadeh; A. Nejati Kalate

Volume 8, Issue 2 , April 2017, , Pages 227-235

https://doi.org/10.22044/jme.2015.558

Abstract
  One of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. Therefore, in this work, it is attempted to develop an inversion approach to determine a 3D density distribution that produces a ...  Read More

Determining fractal parameter and depth of magnetic sources for ardabil geothermal area using aeromagnetic data by de-fractal approach

A. Khojamli; F. Doulati Ardejani; A. Moradzadeh; A. Nejati Kalateh; A. Roshandel Kahoo; S. Porkhial

Volume 8, Issue 1 , January 2017, , Pages 93-101

https://doi.org/10.22044/jme.2015.481

Abstract
  The Ardabil geothermal area is located in the northwest of Iran, which hosts several hot springs. It is situated mostly around the Sabalan Mountain. The Sabalan geothermal area is now under investigation for the geothermal electric power generation. It is characterized by its high thermal gradient and ...  Read More