Abdulwahab Ali

发表

A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools

M. Belayneh, Zeeshan Tariq, M. Mahmoud, 2019, Petroleum Geoscience.

Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques

S. Elkatatny, Abdulwahab Ali, Abdulmalek Ahmed, 2021 .

New Approach to Predict Fracture Pressure Using Functional Networks

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, 2018 .

An integrated workflow to perform reservoir and completion parametric study on a shale gas reservoir

M. S. Kamal, Abdulwahab Ali, M. Mahmoud, 2020, Journal of Petroleum Exploration and Production Technology.

Comparative analysis of artificial intelligence techniques for formation pressure prediction while drilling

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2019, Arabian Journal of Geosciences.

Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2017 .

Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors

Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, Abdulwahab Ali, 2020, J. Sensors.

Evaluation of the Total Organic Carbon (TOC) Using Different Artificial Intelligence Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Abdulwahab Ali, 2019, Sustainability.

Permeability Measurement of Organic-Rich Shale - Comparison of Various Unsteady-State Methods

S. R. Hussaini, Abdulwahab Ali, G. Jin, 2015 .

New Artificial Neural Networks Model for Predicting Rate of Penetration in Deep Shale Formation

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2019 .

Elastic and Mechanical Properties of Dune Sand: Experiments and Models

Mohamed E. Kandil, J. Dvorkin, Abdulwahab Ali, 2019, Journal of Geophysical Research: Solid Earth.

Prediction of cohesion and friction angle from well-logging data using decision tree and random forest

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2021, Arabian Journal of Geosciences.

New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging Data

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2022, ACS omega.

Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2022, Journal of Natural Gas Science and Engineering.

Machine learning application to predict in-situ stresses from logging data

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2021, Scientific Reports.

Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2021, Comput. Intell. Neurosci..

New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2018, Arabian Journal for Science and Engineering.

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks

Salaheldin Elkatatny, Tamer Moussa, Abdulwahab Ali, 2019, Energies.

New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2018, Arabian Journal for Science and Engineering.

Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest

S. Elkatatny, Abdulwahab Ali, A. Mahmoud, 2021 .

Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques

Emad Ramadan, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2019, Journal of Petroleum Exploration and Production Technology.

Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques

Salaheldin Elkatatny, Tamer Moussa, A. Abdulraheem, 2017 .

New Technique to Determine the Total Organic Carbon Based on Well Logs Using Artificial Neural Network (White Box)

Mohamed Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2017 .

Application of Machine Learning to Predict the Failure Parameters from Conventional Well Logs

A. Ibrahim, S. Elkatatny, Abdulwahab Ali, 2022, Arabian Journal for Science and Engineering.

A New Approach to Predict Failure Parameters of Carbonate Rocks using Artificial Intelligence Tools

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, 2017 .