Prediction of asphaltene precipitation using artificial neural network optimized by imperialist competitive algorithm

Journal of Petroleum Exploration and Production Technology

Volumn 1, Issue 2-4, 2011, Pages 99-106

  Ahmadi, Mohammad Ali ^a  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Asphaltene; Imperialist competitive algorithm; Precipitation; Prediction

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FORECASTING; HEAVY OIL PRODUCTION; NEURAL NETWORKS; OPTIMIZATION; PETROLEUM INDUSTRY; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS; PRECIPITATION (CHEMICAL);

ASPHALTENE PRECIPITATION; ECONOMICAL EFFICIENCY; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; IMPERIALIST COMPETITIVE ALGORITHM (ICA); IMPERIALIST COMPETITIVE ALGORITHMS; MODEL-BASED OPC; ORGANIC MATERIALS; WETTABILITY ALTERATION;

ASPHALTENES;

EID: 84863733018     PISSN: 21900558     EISSN: 21900566     Source Type: Journal    
DOI: 10.1007/s13202-011-0013-7     Document Type: Article

References (15)

1. Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: IEEE Congress on Evolutionary Computation, pp 4661-4667.
2. Balan B, Mohaghegh S, Ameri S (1995) SPE Eastern Regional Conference and Exhibition, West Virginia, pp. 17-21.
3. Brown M, Harris C (1994) Neural fuzzy adaptive modeling and control. Prentice-Hall, Englewood Cliffs.
4. de Souto MCP, Yamazaki A, Ludernir TB (2002) Optimization of neural network weights and architecture for odor recognition using simulated annealing. In: Proceedings of the international joint conference on neural networks, vol 1, pp 547-552.
5. Doveton JH, Prensky SE (1992) Geological applications of wireline logs: a synopsis of developments and trends. Log Analyst 33(3): 286-303.
6. Hornick K, Stinchcombe M, White H (1989) Multilayer feed forward networks are universal approximators. Neural Netw 2: 359-366.
7. Hornik K, Stinchcombe M, White H (1990) Universal approximation of an unknown mapping and its derivatives using multilayer feed forward networks. Neural Netw 3(5): 551-560.
8. Hu Y-F, Guo T-M (2001) Effect of temperature and molecular weight of n-alkane precipitation on asphaltene precipitation. Fluid Phase Equilib J 192: 13-25.
9. Hu Y-F, Chen GJ, Yang JT, Guo TM (2000) Fluid phase Equilib J 171: 181-195.
10. Pedersen KS, Fredenslund A, Thomassen P (1989) Properties of oils and natural gases. Gulf Publishing, Houston.
11. Qul X, Feng J, Sun W (2008) Parallel genetic algorithm model based on AHP and neural networks for enterprise comprehensive business. In: IEEE International conference on intelligent information hiding and multimedia signal processing, pp 897-900.
12. Rallo R, Ferre-Gin J, Arenas A, Giralt F (2002) Neural virtual sensor for the inferential prediction of product quality from process variables. Comput Chem Eng 26: 1735-1754.
13. Rassamdana H, Dabir B, Nematy M, Farhani M, Sahimi M (1996) Asphalt flocculation and deposition: I. the onset of precipitation. AIChE J 42: 10-22.
14. Reed R (1993) Pruning algorithms-a survey. IEEE Trans Neural Networks 4: 740-747.
15. Tang P, Xi Z (2008) The research on BP neural network model based on guaranteed convergence particle swarm optimization. In: Second international symposium on intelligent information technology application, IITA '08, vol 2, pp 13-16.