A Stochastic Model for the Fractal Dimension Estimation of Asphaltenes Aggregation
Rocío R. Gallegos-Villela1, Ruth C. Galindo-Lopez2, Josue F. Perez-Sanchez3, Elena Izquierdo-Kulich4

1Rocio R. Gallegos-Villela, Facultad de Arquitectura Diseño y Urbanismo, Universidad Autónoma de Tamualipas, Tampico, Tamaulipas, Mexico.
2Ruth C. Galindo-Lopez, Facultad de Ingeniería, Universidad Autónoma de Tamualipas, Tampico, Tamaulipas, Mexico.
3Josue F. Perez-Sanchez, Centro de Investigación en Petroquímica, Instituto Tecnológico de Ciudad Madero, Ciudad Madero, Tamaulipas, Mexico.
4Elena Izquierdo-Kulich, Departamento de Química-Fisica, Facultad de Química, Universidad de La Habana, La Habana, Cuba.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP:1992-1995 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8333088619/2019©BEIESP | DOI: 10.35940/ijeat.F8333.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Some of the problems associated with the transportation of crude oils are due to the presence of heavy compounds as asphaltene molecules. This work developed a stochastic model that predicts the fractal dimension of the asphaltene aggregates. It was found that the maximum value of the fractal dimension is 1.71, which corresponds to the reported experimental results. The model can be applied as a universal growing behavior for the analysis of surface roughness when solids deposition is observed in the production systems involving crude oils.
Keywords: 2D and 3D observation, fractal dimension estimation, aggregation/segregation processes.