Ali Chamkalani

发表

SOFT COMPUTING METHOD FOR PREDICTION OF CO2 CORROSION IN FLOW LINES BASED ON NEURAL NETWORK APPROACH

Reza Chamkalani, Ali Chamkalani, Milad Arabloo Nareh'ei, 2013 .

The Application of Least Square Support Vector Machine as a Mathematical Algorithm for Diagnosing Drilling Effectivity in Shaly Formations

Ali Chamkalani, Abdolhamid Sameni, 2018 .

Diagnosis of asphaltene stability in crude oil through “two parameters” SVM model

Farhad Gharagheizi, Amir H. Mohammadi, Dominique Richon, 2012 .

Pattern recognition insight into drilling optimization of shaly formations

Sohrab Zendehboudi, Maurice B. Dusseault, Reza Chamkalani, 2017 .

Application of Least Square Support Vector Machine as a Mathematical Algorithm for Diagnosing Drilling Effectivity in Shaly Formations

Reza Chamkalani, Mohammad Ali Ghayyem, Ali Chamkalani, 2013 .

Hybrid of Two Heuristic Optimizations with LSSVM to Predict Refractive Index as Asphaltene Stability Identifier

Amir H. Mohammadi, Reza Chamkalani, Ali Chamkalani, 2014 .

Support Vector Machine Model: A New Methodology for Stuck Pipe Prediction

Ali Chamkalani, Mojtaba Pordel Shahri, Saeed Poordad, 2013 .

Assessment of asphaltene deposition due to titration technique

Mahmood Amani, Reza Chamkalani, Ali Chamkalani, 2013 .

Implementation of SVM framework to estimate PVT properties of reservoir oil

Mahmood Amani, Ali Chamkalani, Mohammad Hadi Zargari, 2013 .

Correlations between SARA Fractions, Density, and RI to Investigate the Stability of Asphaltene

Ali Chamkalani, A. Chamkalani, 2012 .