Abstract
Polymer flooding has been established as an effective enhanced oil recovery (EOR) technique and can be utilized in large-scale field expansions. With high success rates and efficiency, polymer flooding operates by increasing the viscosity of water, promoting greater sweep efficiency and resulting in higher oil recovery beyond conventional waterflooding. Predicting viscosity has been established by numerous researchers as an essential tool to study polymers behavior under varying conditions. Previous model has proven a link between polymer viscosity and zero shear rate viscosity, relaxation time, hardness, and many other factors. This research initially reviews different types of polymers that can be applied successfully in EOR, demonstrate conditions that can alter polymer viscosity in porous medium, and analyze models that predict polymer bulk and in situ viscosity. The research then discusses a novel modification of the power law model to predict HPAM (SAV10) viscosity in a wide range of shear rates based on polymer concentration, fluid salinity, and divalent content. A polymer rheology study was carried out on SAV10 at various concentrations (750–5000 ppm) and brine salinities (43–210 k ppm). Results show the effectiveness of the model and the ability to predict viscosity accurately in low to medium shear rates, while in high shear rate, a slight deviation was noticeable.
Highlights
Numerous methods have been established in secondary and tertiary recoveries to enhance oil production after waterflooding, namely water injection, thermal methods, and miscible and immiscible gas injection
The purpose of this paper is to introduce a comprehensive rheological model that predicts polymer viscosity under different shear rate values, based on polymer concentration, brine salinity, and divalent content
Results indicate a linear relationship between degree of hydrolysis and k and n, Fig. 11 Experimental and predicted hydrolyzed polyacrylamide (HPAM) viscosity match using modified power law correlation where e1, e2, e3, e4, e5, f1, f2, f3, and f4 are model coefficients obtained by nonlinear regression analysis of experimental data
Summary
Numerous methods have been established in secondary and tertiary recoveries to enhance oil production after waterflooding, namely water injection, thermal methods, and miscible and immiscible gas injection. One of the proved techniques nowadays is polymer flooding which increases the viscosity of water and promotes higher sweep efficiency by decreasing the mobility ratio between water and oil resulting in additional oil recovery (Sorbie 1991). A selection of polymers that can be utilized in polymer flooding and the factors affecting their viscosity based on previous researches have been outlined. The main aspect of our work is to present a novel model
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