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10006324
Operating Conditions Optimization of Steam Injection in Enhanced Oil Recovery Using Duelist Algorithm
Abstract:
Steam injection is the most suitable of Enhanced Oil Recovery (EOR) methods to recover high viscosity oil. This is due to the capabilities of steam to reduce oil viscosity and increase the sweep capability of oil from the injection well toward the production well. Oil operating conditions in production should be match well with the operating condition target at the bottom of the production well. It is influenced by oil properties and reservoir rock properties. Hence, the operating condition should be optimized. Optimization requires three components i.e., objective function, model, and optimization technique. In this paper, the objective function is to obtain the optimum operating condition at the production well. The model was built using Darcy equation and mass-energy balance. The optimization technique utilizes Duelist Algorithm due to the effectiveness of its algorithm to obtain the desirable optimization results at the optimum operating condition.
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References:

[1] L. L. Schramm and K. Mannhardt, "The effect of wettability on foam sensitivity to crude oil in porous media," Journal of Petroleum Science and Engineering, vol. 15, pp. 101-113, 1996.
[2] S. Kokal and A. Al-Kaabi, "Enhanced oil recovery: challenges & opportunities," World Petroleum Council: Official Publication, pp. 64-68, 2010.
[3] V. Alvarado and E. Manrique, "Enhanced oil recovery: an update review," Energies, vol. 3, pp. 1529-1575, 2010.
[4] E. Escobar, P. Valko, W. Lee, and M. Rodriguez, "Optimization methodology for cyclic steam injection with horizontal wells," in SPE/CIM International Conference on Horizontal Well Technology, 2000.
[5] S. Luo and A. L. Baker, "Optimizing horizontal-well steam-stimulation strategy for heavy-oil development," in SPE Eastern Regional Meeting, 2006.
[6] T. R. Biyanto, H. Y. Fibriyanto "Duelist Algorithm: An Algorithm in Stochastic Optimization Method," Springer, Advances in Swarm Intelligence: The Seventh International Conference on Swarm Intelligence, June 25-30, 2016, Bali.
[7] T. B. Jensen, M. Sharma, and H. G. Harris, "An improved evaluation model for steam-drive projects," Journal of Petroleum Science and Engineering, vol. 5, pp. 309-322, 1991.
[8] O. Cicek, "Numerical Simulation of Steam Injection Using Compositional Formulation," Pennsylvania State University., 1994.
[9] O. Banete, "Towards Modeling Heat Transfer Using a Lattice Boltzmann Method for Porous Media," Laurentian University of Sudbury, 2014.
[10] D. A. Nield and A. Bejan, Mechanics of Fluid Flow Through a Porous Medium: Springer, 2013.
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