... a logarithmic relationship between the porosity and resistivity logs. Hence,the above empirical correlations have unguaranteed accuracy in predictions when applied to different datasets. Lately, several models were developed using several artificial intelligence (AI) tools as summarized in Table 1 . Table...

... for prediction of EMD and ECD were made and applied in drilling high pressure high temperature wells (HPHT) hole sections. Osman and Aggour (2003) developed a correlation by using Artificial Intelligence by using artificial neural network (ANN) to estimate mud density as function of drilling fluid type...

.... al., 2014 ). The artificial intelligence could be utilized to accelerate the time it takes to perform the wellbore stability analysis or geomechanics modelling. Wessling et. al., 2012 worked on automating the workflows on pore-pressure, interpreting images by algorithms to identify breakouts...

... and materials drilling fluid formulation drilling rate correlation optimization hole section rate of penetration artificial intelligence drilling operation hydraulic horsepower bit hydraulics rheological property jet impact force mud property nozzle petroleum engineer Introduction...