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 · 176 citations

Engineering, Computer Science, Petroleum Engineering +16

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 · 127 citations

Engineering, Earth Sciences, Petroleum Engineering +16

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

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud et al. · Petroleum · 2018 · 73 citations · Full text

Engineering, Computer Science, Petroleum Engineering +17

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

Computing, Computer Engineering, Computer Science +7

Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine systems

Zeeshan Tariq, Muhammad Ali, Nurudeen Yekeen et al. · Fuel · 2023 · 66 citations · Full text

Engineering, Earth Sciences, Geological Engineering +16