... elkatatny journal mahmoud drilling fluids and materials log analysis prediction abdelaal pressure gradient estimation Abstract Real-time estimation of the formation pressure can enhance the drilling operations in terms of non-productive time, costs, and safety. In the literature, the known...

... mae sonic well log elkatatny Abstract The objective of this study is to utilize drilling parameters and gamma-ray (GR) well logs to predict compressional and shear sonic logs while drilling using machine learning techniques. Surface drilling parameters and various wellbore logs of 10...

...ARMA/DGS/SEG International Geomechanics Symposium 21 601 Sonic Logs Prediction in Real Time by Using Random Forest Technique Hany Gamal, Ahmed Alsaihati, Salaheldin Elkatatny*, and Abdulazeez Abdulraheem College of Petroleum Engineering & Geosciences, King Fahd University of Petroleum & Minerals...

.... reservoir characterization artificial intelligence reservoir geomechanics neural network abdulraheem upstream oil & gas machine learning well logging wellbore design technol continuous profile mahmoud static young estimation correlation coefficient elkatatny validation energy resour...

... upstream oil & gas elkatatny aape petroleum engineer application mahmoud wellbore integrity log analysis wellbore design drilling parameter pore pressure estimation neural network machine learning ahmed abdelaal pore pressure gradient salaheldin elkatatny abdulazeez abdulraheem ARMA...

... machine learning hydraulic fracturing shale gas prediction performance upstream oil & gas mineralogical percentage artificial neural network brittleness index correlation composition mineralogical composition artificial intelligence neural network new model elkatatny...