A predictive model for polymer behavior. It can be used for recovering oil from a depleted oil reservoir and for screening polymers. Companies using this technology will have the ability to significantly increase the accuracy of polymer screening for injectivity and oil recovery operations, as well as the accuracy of numerical reservoir simulation.
University of Alberta researchers have developed a model that can more accurately predict the behavior of viscoelastic polymers. This method utilizes an independent core flood model that can be integrated into any commercial reservoir simulator for predicting polymer behavior in an oil reservoir. The model can effectively predict pressure drop, injectivity, and the onset of viscoelasticity. It can also classify the porous media behavior of similar shear viscoelastic polymers.
Desired business relationship
Patent licensing
Transforming discoveries and innovations into reality is a complex and lengthy process. UAlberta’s Technology Transfer Services (TTS) team helps facilitate this journey. Part of the Vice-President (Research and Innovation) portfolio, TTS helps researchers, postdoctoral fellows, staff and students transform innovations and discoveries into reality—moving them out of the university to benefit society, the economy, the world.
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