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Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous Gemini Surfactant-Polymer-Nanoparticle systems
  • Nilanjan Pal,
  • Ajay Mandal
Nilanjan Pal
Indian School of Mines

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Ajay Mandal
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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.
09 May 2020Submitted to AIChE Journal
10 May 2020Submission Checks Completed
10 May 2020Assigned to Editor
18 May 2020Reviewer(s) Assigned
22 Jun 2020Editorial Decision: Revise Major
04 Jul 20201st Revision Received
09 Jul 2020Submission Checks Completed
09 Jul 2020Assigned to Editor
27 Jul 2020Reviewer(s) Assigned
05 Aug 2020Editorial Decision: Accept