Volume 33 (2023)
Volume 32 (2022)
Volume 31 (2021)
Volume 30 (2020)
Volume 29 (2020)
Volume 28 (2019)
Volume 27 (2018)
Volume 26 (2017)
Volume 25 (2016)
Volume 24 (2015)
Volume 23 (2014)
Volume 22 (2013)
Volume 21 (2012)
Volume 20 (2011)
Volume 19 (2010)
Volume 18 (2009)
Volume 17 (2008)
Volume 16 (2007)
Petrophysical Analysis and Prediction of Porosity Function in One of the Southwest Reservoirs of Iran

A Abbaszadeh shahri; R Hosseini; F Rezaei; K Mehdizadeh; N Panaei

Volume 24, Issue 94 , March 2015, , Pages 311-316


  Artificial Neural Network methods (ANN) are computational methods, which capable to predict a specific log or classify different data. Unlike the digital computers, which require the completely definite and distinguished rules, the ANN methods do not need a pure mathematical model; rather like the human ...  Read More

Hydrocarbon Potential Evaluation of Gadvan Formation by Using ∆LogR Method in South Pars Field

M. A. Oladzad Abbas Abadi; B. Movahed

Volume 21, Issue 83 , December 2012, , Pages 167-174


  Hydrocarbon potential Evaluation of formations by using ∆logR method (a method based on separation of well logging of porosity DT/CN./RHOB) and resistivity well logging (Rt). This method has been today applied as an appropriate method in many of famous wells of the world. The beginning of these methods ...  Read More

Potential of Hydrocarbon Generation of Pabdeh and Gurpi Formations on the Basis of ∆LogR and Neural Network Techniques in Wells A and B in an Oil Field in the South-West Iran

M. Paryab

Volume 16, Issue 64 , March 2007, , Pages 148-157


  Hydrocarbon source rocks, the subject of various analyses and investigations, are well appreciated because of their capacity for oil generation. In the present study, attempts were made to evaluate source rock using a leap cost analytical method. For this purpose, some samples from these formations were ...  Read More