Multivariate Optimization of Surfactant Systems for Tertiary Oil Recovery
Abstract A new method of optimization has been developed for tertiary oil recovery systems employing surfactants. This method simultaneously adjusts all composition variables in a manner which greatly reduces the total number of compositions which need to be investigated experimentally. This multivariate optimization technique has been applied to two petroleum sulfonate systems, one containing a pure hydrocarbon and the other containing a crude oil. In both cases, significant reductions of interfacial tensions were achieved relative to those obtained by conventional optimization with respect to salinity alone. Surfactant systems for tertiary oil recovery commonly involve at least five components: oil, water, surfactant, cosurfactant, and electrolyte. The optimization of such systems is hindered by this large number of components and because interpolation of behavior is often difficult. Previously, such systems have been optimized by adjusting concentrations of individual components empirically. These empirical optimizations have indicated that surfactant systems which form three phases are preferred for oil recovery although they are not necessarily fully optimized. As stated by the Gibbs phase rule, a five-component, three-phase system has only two degrees of freedom at constant temperature and pressure. These two degrees of freedom can be identified mathematically by making use of chemical analysis of a three-phase sample. Thus, optimization of three-phase surfactant systems can be accomplished by adjusting only two variables, resulting in a dramatic reduction of time and effort required to optimize such systems. For the systems studied, both the volume per unit mass of surfactant and the viscosity of the microemulsion phase are increased significantly even though the optimization was based on interfacial tension only. These bonuses should lead to improved sweep efficiency in the displacement process. Introduction Surfactant systems have received much attention recently as a means for increasing the recovery of oil from a subterranean reservoir.1–5 Typically, these systems employ a petroleum sulfonate as the surfactant and an alcohol as a cosurfactant or co solvent. Thus, when the oil and brine (water plus electrolyte) also are considered, these oil recovery systems are seen to contain at least five components. Because of the high cost of surfactant systems, it is important that any such system be optimized to provide the greatest oil recovery at the lowest cost. Unfortunately, this optimization is hindered by, at least, these three factors:the large number of components and the correspondingly large number of possible compositions which must be evaluated,interactions between components which make interpolation of behavior difficult, andthe relative difficulty of performing displacement tests in porous media.