Smart models for predicting under-saturated crude oil viscosity: a comparative study

Oil Family Typing Using a Hybrid Model of Self-Organizing Map and Artificial Neural Network

“…Menad et al 4 estimated the solubility of CO2 in brine via advaned ML techniques. Razghandi et al 14 predicted under-saturated crude oil viscosity by ML algorithms. Bolandi et al 15 evaluated source rock characteristics by ML methods.…”