Y. Negahdarzadeh

Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran

[ 1 ] - Porosity classification from thin sections using image analysis and neural networks including shallow and deep learning in Jahrum formation

The porosity within a reservoir rock is a basic parameter for the reservoir characterization. The present paper introduces two intelligent models for identification of the porosity types using image analysis. For this aim, firstly, thirteen geometrical parameters of pores of each image were extracted using the image analysis techniques. The extracted features and their corresponding pore types ...

نویسندگان همکار