In this paper, we present a comprehensive transient procedure to predict asphaltene deposition along the tubing string in the production system. For this approach, an accurate two-phase fluid flow model was coupled with a solid asphaltene precipitation model and a (semi-Lagrangian) particle deposition model in turbulent flow with the ability to predict the deposition of particles in vertical surfaces. The developed approach can be used to predict the possibility and location of the asphaltene precipitation in the wellbore during the production period due to the different production parameters. Downloaded by [University of Southern Queensland] at 03:35 10 October 2014 2

Prediction of asphaltene deposition in production system and design of production parameters adequately to control this issue is inevitable. We presented a transient model to predict asphaltene deposition along the tubing string in the production system. An accurate two-phase fluid flow model was coupled with a solid asphaltene precipitation model and a sub-layer particle deposition model in turbulent flow with the ability to predict the deposition of particles in vertical surfaces. Our procedure shows good agreement with the experimental work previously done to measure the rate of deposition of flocculated asphaltene particles via an accurate thermal apparatus at different temperatures and flow rates. The developed model was used to simulate the deposition of asphaltene in a real field. The results suggest that even with high flow rates, the deposited asphaltene caused a 2.5% reduction in wellhead pressure after 30 days of production. The developed model can predict the transient location of the asphaltene, onset pressure, and the profile of the deposited asphaltene in a wellbore versus time. In practice, the proposed model can be used for analysis of different production scenarios in a given well to minimize the possibility and extent of asphaltene deposition and enhance the production rate.