R. Jahanbakhshi

发表

Quantitative and qualitative analysis of lost circulation in natural and induced fractured formations: the integration of operational conditions and geomechanical parameters

R. Jahanbakhshi, Reza Keshavarzi, R. Keshavarzi, 2015 .

Artificial neural network-based prediction and geomechanical analysis of lost circulation in naturally fractured reservoirs: a case study

R. Jahanbakhshi, Reza Keshavarzi, Sajad Jalili, 2014 .

PREDICTION OF DIFFERENTIAL PIPE STICKING BY USING PROBABILISTIC ARTIFICIAL NEURAL NETWORK IN OFFSHORE PERSIAN GULF OIL FIELDS

R. Jahanbakhshi, S A Emamzadeh, M Aliyari Shoorehdeli, 2011 .

Real-time prediction of pore pressure gradient through an artificial intelligence approach: a case study from one of middle east oil fields

R. Jahanbakhshi, Reza Keshavarzi, R. Keshavarzi, 2013 .

Investigation of Hydraulic and Natural Fracture Interaction: Numerical Modeling or Artificial Intelligence?

R. Jahanbakhshi, Reza Keshavarzi, R. Keshavarzi, 2013 .

Intelligent Classifier Approach for Prediction and Sensitivity Analysis of Differential Pipe Sticking: A Comparative Study

R. Jahanbakhshi, Reza Keshavarzi, 2016 .

Intelligent Prediction of Differential Pipe Sticking by Support Vector Machine Compared With Conventional Artificial Neural Networks: An Example of Iranian Offshore Oil Fields

R. Jahanbakhshi, Reza Keshavarzi, Mahdi Aliyari Shoorehdeli, 2012 .

Real-time Prediction of Rate of Penetration During Drilling Operation In Oil And Gas Wells

R. Jahanbakhshi, Reza Keshavarzi, R. Keshavarzi, 2012 .

Intelligent Prediction of Wellbore Stability In Oil And Gas Wells: An Artificial Neural Network Approach

R. Jahanbakhshi, Reza Keshavarzi, R. Keshavarzi, 2012 .