... drilling fluids and materials abdulraheem viscosity drilling fluid chemistry drilling fluid property Upstream Oil & Gas plastic viscosity prediction real time prediction correlation coefficient artificial neural network neuron apparent viscosity Artificial Intelligence drilling fluid...

... time shear wave travel time neutron porosity coefficient abdulraheem wave travel time Castillo application machine learning Artificial Intelligence correlation mathematical model functional network compressional wave travel time society of petroleum engineers Introduction...

... with high level of certainty. Upstream Oil & Gas Artificial Intelligence two-phase flow Brill neural network transfer function machine learning abdulraheem input parameter Elkatatny empirical correlation neuron mechanistic model optimization artificial neural network society...

... Elkatatny abdulraheem eccentricity Support Vector Machine artificial neural network neural network Artificial Intelligence concentration input parameter prediction Upstream Oil & Gas Mahmoud wellbore society of petroleum engineers neural network Efficiency viscosity empirical...

... coefficient (CC) of 0.997 and a very low average absolute percentage error (AAPE) of 2.83%. machine learning drilling fluids and materials input parameter drilling fluid chemistry drilling fluid property abdulraheem Artificial Intelligence Upstream Oil & Gas Elkatatny Bourgoyne drilling...

... slurry and determine the casing setting depth. In addition, the drilling engineers will be able to eliminate the common drilling problems such as loss of circulation. neural network wellbore integrity Artificial Intelligence Upstream Oil & Gas predict fracture pressure abdulraheem...

... of pore pressure without the need of different trends as compared to other models which require a two different trend (normal or abnormal pressure). machine learning Reservoir Characterization abdulraheem log data artificial neural network predict formation pressure fuzzy logic pore pressure...

... Intelligence abdulraheem well logging Upstream Oil & Gas machine learning fuzzy logic input parameter empirical correlation Mahmoud correlation prediction Archie society of petroleum engineers water saturation Tariq correlation coefficient lithology Elkatatny artificial neural network...

.... machine learning Upstream Oil & Gas oil flow rate prediction algorithm choke Artificial Intelligence abdulraheem correlation Tariq estimation society of petroleum engineers fuzzy logic flow rate Elkatatny coefficient oil rate neural network neural network computational intelligence...

... ( Ali, 1994 ; Anifowose and Abdulraheem, 2011a ; Anifowose and Abdulraheem, 2011b ). However, the ensemble learning method is still very new and not yet adequately explored in petroleum engineering. The only work found in the petroleum industry-related literature was Chen et al. (2004) that proposed...