Optimization of Asphaltene Deposition and Adsorption Parameter in Porous Media Search

Abstract

Abstract The deposition of asphaltene is considered to be one of the most difficult problems during oil production. The mechanism of Asphaltene precipitation and deposition is not fully understood until now. Asphaltene deposition in the reservoir is a complex problem and due to high depth of reservoir, it is impossible to do field experiments. Laboratory tests are expensive and time consuming. In order to study effects of asphaltene deposition, it is be necessary to rely on different models which are developed for Asphaltene adsorption and deposition. These models consist of several matching parameters. Iteration method was used to obtain an acceptable match for experimental data. Deposition equations are highly coupled therefore deposition parameters cannot be optimized independently. Due to dependency of parameters, ordinary optimization methods are not applicable for deposition. In this paper we introduce a new model for asphaltene deposition in porous media and corresponding numerical method was developed using implicit scheme, then a procedure for matching the asphaltene deposition and adsorption parameters was described and a new optimization method was introduced .In this method genetic algorithm was applied and the result of it was used as input for direct search to obtain an acceptable match for experimental data.