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Numerical simulation of enhanced oil recovery studies for aqueous gemini surfactant‐polymer‐nanoparticle systems
Author(s) -
Pal Nilanjan,
Mandal Ajay
Publication year - 2020
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.17020
Subject(s) - enhanced oil recovery , pulmonary surfactant , surface tension , aqueous solution , petroleum engineering , chemical engineering , adsorption , materials science , viscosity , wetting , chemistry , geology , composite material , engineering , thermodynamics , organic chemistry , physics
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 + SiO 2 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.