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

ABSTRACT

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°C, and salinity. This tool has great accuracy compared with other previous models and can be of great application for enhance oil recovery.

KEYWORDS:

• Enhanced oil recovery
• modeling
• oil properties
• surfactant
• SVM