Zeeshan Tariq

Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud · Journal of Petroleum Science and Engineering · 2016 · 173 citations

Evolving Neural Network, Engineering, Machine Learning +9

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq et al. · Neural Computing and Applications · 2017 · 124 citations

Hydrogeology, Earth Science, Engineering +8

An integrated approach for estimating static Young’s modulus using artificial intelligence tools

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud et al. · Neural Computing and Applications · 2018 · 72 citations

Modal Analysis, Integrated Approach, Engineering +3

New insights into porosity determination using artificial intelligence techniques for carbonate reservoirs

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud et al. · Petroleum · 2018 · 70 citations · Full text

A New Technique to Develop Rock Strength Correlation Using Artificial Intelligence Tools

Zeeshan Tariq, Salaheldin Elkatatny, Mohamed Mahmoud et al. · SPE Reservoir Characterisation and Simulation Conference and Exhibition · 2017 · 64 citations

Rock Testing, Engineering, Mechanical Engineering +18