Estimating the asphaltene critical nanoaggregation concentration region using ultrasonic measurements and Bayesian inference.

ABSTRACT: Bayesian inference and ultrasonic velocity have been used to estimate the self-association concentration of the asphaltenes in toluene using a changepoint regression model. The estimated values agree with the literature information and indicate that a lower abundance of the longer side-chains can cause an earlier onset of asphaltene self-association. Asphaltenes constitute the heaviest and most complicated fraction of crude petroleum and include a surface-active sub-fraction. When present above a critical concentration in pure solvent, asphaltene "monomers" self-associate and form nanoaggregates. Asphaltene nanoaggregates are thought to play a significant role during the remediation of petroleum spills and seeps. When mixed with water, petroleum becomes expensive to remove from the water c

SUBMITTER: Svalova A 

PROVIDER: S-EPMC7988144 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature