1. The Porosity Prediction of One of Iran South Oil Field Carbonate Reservoirs Using Support Vector Regression

Mohsen Karimian; Nader Fathianpour; Jamshid Moghaddasi

Volume 2, Issue 3 , Summer 2013, , Pages 25-36

http://dx.doi.org/10.22050/ijogst.2013.3642

Abstract
  Porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques has become a popular method for porosity estimation. Support vector machine (SVM) a new intelligent method with ...  Read More