Adaptive Simulated Annealing Genetic Algorithm for Optimizing Injection Production Parameters of Steam Flood Well

Abstract:

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The development effect of steam flood well is influenced by the combination of the following parameters: injection speed, dryness fraction of steam, temperature of injection steam, and bottom hole flowing pressure. Taking the advantage of adaptive simulated annealing genetic algorithm with the characteristic of fast search and globally optimization, and combine with the mathematical model of the steam flood well. Maximization of the vapor-liquid interface factor is the target to optimize injection production parameter of the steam flood well, the results of the optimization shows that cumulative oil production increases obviously.

Info:

Periodical:

Advanced Materials Research (Volumes 328-330)

Edited by:

Liangchi Zhang, Chunliang Zhang and Zichen Chen

Pages:

1855-1859

DOI:

10.4028/www.scientific.net/AMR.328-330.1855

Citation:

T. J. Sun et al., "Adaptive Simulated Annealing Genetic Algorithm for Optimizing Injection Production Parameters of Steam Flood Well", Advanced Materials Research, Vols. 328-330, pp. 1855-1859, 2011

Online since:

September 2011

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Price:

$35.00

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