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Modeling and optimization of asphaltene deposition in porous media using genetic algorithm technique

Hematfar, V ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. Different models have been proposed for deposition of asphaltene on reservoir rocks that due to complexity of asphaltene nature, most of them have not been productive. Here, a reliable model is proposed which despite of previous models, considers the change in asphaltene saturation in the core. The obtained experimental data in the laboratory was used for model validation. In this work, a series of core flooding tests was carried out in presence of connate water at different solvent-oil volume ratios. Pressure drop was measured at three different terminals along the core. The obtained experimental data as well as mass balance equations, momentum equation, asphaltene deposition and permeability reduction models were employed in an iterative scheme to simulate the deposition process. Genetic algorithm (GA), which is a powerful tool, was applied for history matching, optimization and determination of the model parameters. Well match observed between the model results and experimental data confirms the accuracy of the proposed mathematical model of asphaltene deposition in porous media. Also, applied improvement on the model resulted in accurate simulation as well as determination of precipitated asphaltene saturation. Optimization shows that all deposition mechanisms, surface deposition, entrainment and pore plugging, are dominant during the permeability evolution process. Results of this work can be helpful for reliable simulation of the dynamic asphaltene deposition process during different production schemes
  5. Keywords:
  6. Asphaltene deposition ; Core flooding test ; Deposition mechanism ; Deposition process ; Different solvents ; Experimental data ; History matching ; Iterative schemes ; Mass balance equations ; Model parameters ; Model results ; Model validation ; Modeling and optimization ; Momentum equation ; Permeability evolution ; Permeability reduction ; Pore plugging ; Porous Media ; Reliable models ; Reservoir rock ; Surface deposition ; Volume ratio ; Asphaltenes ; Biology ; Deposition ; Genetic algorithms ; Mathematical models ; Optimization ; Petroleum reservoir evaluation ; Petroleum reservoirs ; Porous materials ; Computer simulation
  7. Source: Society of Petroleum Engineers - International Oil and Gas Conference and Exhibition in China 2010, IOGCEC, 8 June 2010 through 10 June 2010 ; Volume 1 , June , 2010 , Pages 479-491 ; 9781617388866 (ISBN)
  8. URL: https://www.onepetro.org/conference-paper/SPE-130455-MS