An Application of T-S Model and Phase Based Quantum Genetic Algorithm in Oilfield

Shu Xia Liu; Yong Yang; Dian Bao Mu; Pan Chi Li

doi:10.4028/www.scientific.net/AMM.513-517.1392

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517An Application of T-S Model and Phase Based...

An Application of T-S Model and Phase Based Quantum Genetic Algorithm in Oilfield

Abstract:

Based on the learning and integrated application of the T-S modeling method and Phase based Quantum Genetic Algorithm (PQGA), this article aims to provide a new and effective method to fulfill the actual demand of the oilfield development and production. First, according to the forecast indicators and the influencing factors, establish the fuzzy rule base, then according to the fuzzy rule base, establish the T-S prediction model, with improved quantum genetic algorithm to optimize the parameters of the T-S model, through the application of the prediction of the water-cut in oilfield, we prove that the method is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1392-1397

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1392

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Online since:

February 2014

Authors:

Shu Xia Liu*, Yong Yang, Dian Bao Mu, Pan Chi Li

Keywords:

Phase-Based Quantum Genetic Algorithm (PQGA) , Prediction of Water-Cut, T-S Model

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* - Corresponding Author

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