Determination of efficient surfactants in the oil and gas production units using the SVM approach

Hydrophilic-lipophilic balance is usually applied for enhanced oil recovery to determine optimum surfactant structure. The authors used the potential of a support vector machine as a great embranchment of computational intelligence approaches to find the relationship among the variables for an optimum surfactant configuration. This tool estimates the mole average weighted carbon number (N-C) as a function of the equivalent alkane carbon number, mole average weighted propylene oxide, mole average weighted ethylene oxide, temperature difference from 25 degrees C, and salinity. This tool has great accuracy compared with other previous models and can be of great application for enhance oil recovery.