MR. Ahmed Alsabaa

Real-time prediction of rheological properties of invert emulsion mud using adaptive neuro-fuzzy inference system

Sensors Switzerland · 2020-03-02

ALSABAA, Ahmed, GAMAL, Hany Azmy A, ELKATATNY, Salaheldin, ABDULRAHEEM, Abdulazeez

DOI: 10.3390/s20061669

New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks

Flow Measurement and Instrumentation · 2021-04-01

ALSABAA, Ahmed, GAMAL, Hany Azmy A, ELKATATNY, Salaheldin, ABDULRAHEEM, Abdulazeez

DOI: 10.1016/j.flowmeasinst.2021.101914

Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks

ACS Omega · 2021-06-22

ALSABAA, Ahmed, ELKATATNY, Salaheldin

DOI: 10.1021/acsomega.1c01230

Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud

ACS Omega · 2022-05-10

ALSABAA, Ahmed, GAMAL, Hany Azmy A, ELKATATNY, Salaheldin, Abdelraouf Y

DOI: 10.1021/acsomega.2c00404

Machine Learning Approaches for Compressibility Factor Prediction at High- and Low-Pressure Ranges

Arabian Journal for Science and Engineering · 2022-09-01

Salem AM, Attia M, ALSABAA, Ahmed, Abdelaal A, Tariq Z, ELSAYED, Mohammed

DOI: 10.1007/s13369-022-06905-3

Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud

Arabian Journal for Science and Engineering · 2023-07-01

ALSABAA, Ahmed, GAMAL, Hany Azmy A, ELKATATNY, Salaheldin, AL SHEHRI, Dhafer

DOI: 10.1007/s13369-022-07123-7