Table of Contents
Journal of Petroleum Engineering
Volume 2015 (2015), Article ID 804267, 11 pages
http://dx.doi.org/10.1155/2015/804267
Research Article

Asphaltene Formation Damage Stimulation by Ultrasound: An Analytical Approach Using Bundle of Tubes Modeling

1Petroleum University of Technology, Tehran 1453953153, Iran
2Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran 1136511155, Iran
3Texas A&M University, P.O. Box 23874, Education City, Doha, Qatar

Received 31 July 2014; Revised 15 February 2015; Accepted 15 February 2015

Academic Editor: Guillaume Galliero

Copyright © 2015 Arash Rabbani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study presents a novel approach for bundle of tubes modeling of permeability impairment due to asphaltene-induced formation damage attenuated by ultrasound which has been rarely attended in the available literature. Model uses the changes of asphaltene particle size distribution (APSD) as a function of time due to ultrasound radiation, while considering surface deposition and pore throat plugging mechanisms. The proposed model predicts the experimental data of permeability reduction during coinjection of solvent and asphaltenic oil into core with reasonable agreement. Viscosity variation due to sonication of crude oil is used to determine the fluid mobility applied in the model. The results of modeling indicate that the fluid samples exposed to ultrasound may cause much less asphaltene-induced damage inside the porous medium. Sensitivity analysis of the model parameters showed that there is an optimum time period during which the best stimulation efficiency is observed. The results of this work can be helpful to better understand the role of ultrasound prohibition in dynamic behavior of asphaltene deposition in porous media. Furthermore, the present model could be potentially utilized for modeling of other time-dependent particle induced damages.