Simply built microfluidics for fast screening of CO2 foam surfactants and foam model parameters estimation. (15th June 2021)

• Record Type: Journal Article
• Authors: Jian, Guoqing; Gizzatov, Ayrat; Kawelah, Mohammed; AlYousef, Zuhair; Abdel-Fattah, Amr I.
• Is Part Of: Applied energy. Volume 292(2021)
• Publication Date: 2021-06-15
• Subjects: Surfactant -- CO2 foam -- Microfluidics -- Foam model; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.116815
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A cost-efficient microfluidic device was developed. Rapid prescreening of CO2 foam surfactants was achieved in microfluidics. Foam rheology and the effect of oil were found different using different surfactants. The foam steady-state pressure data were modeled with the texture implicit foam model. Abstract: Surfactant-stabilized CO2 foam is a promising technique to increase an oil reservoir's sweep efficiency and therefore produce more oil. The development of successful CO2 foam formulations requires extensive screening and development of commercially available and new chemicals. In this work, we provide a detailed procedure to build a cost-efficient microfluidic device for rapid prescreening of CO2 foam surfactants. Several surfactant-stabilized CO2 foams were successfully tested using the device which demonstrated complete foam quality testing to pre-screen a surfactant in less than an hour. Foam measurements successfully differentiated between different surfactant solutions and showed an increase of viscosity in comparison to CO2 and brine flood alone. The microfluidic device enabled systematic studies of the effect of chip geometry, surfactant type and concentration, injection flow rate, gas fractional flow, and oil fractional flow on CO2 foam strength. The steady-state foam results from the device were used to estimate the texture implicit foam model parameters. The method provided is not only robust for fast surfactant screening, but also for understanding the foam fluids transport phenomenon and foam modeling using microfluidics.