Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous
Gemini Surfactant-Polymer-Nanoparticle systems
Abstract
The article investigates the efficacy of gemini
surfactant/polymer/nanoparticle flooding on chemical EOR. Initially,
physicochemical behavior of aqueous chemical fluids were investigated
via interfacial tension reduction, wettability alteration, adsorption,
viscosity moderation and oil displacement experiments. During
compositional analysis, Cartesian model with specified grid properties,
injection flow-rate, well pattern, and rock-fluid characteristics was
developed using CMG-STARS tool. Contour map analyses showed that oil
saturation decreased from ~80% (initial) to 31.96%,
30.68% and 29.30% after {14-6-14 GS + chase water}, {14-6-14 GS +
PHPA + chase water} and {14-6-14 GS + PHPA + SiO2 chase water}
flooding respectively. Tertiary recoveries of 15-19% were achieved,
depending on injected fluid composition. Experimental data were history
matched via CMOST tool to achieve good matching of simulated results.
The CMG flooding simulator provides a holistic approach to investigate
oil displacement profiles, assess flooding recovery capabilities with
near-accuracy and predict the feasibility of proposed chemical EOR
projects.