Determination of minimum miscibility pressure in CO2-IOR projects with the aid of hybrid neuro-fuzzy system

Determination of minimum miscibility pressure in CO2-IOR projects with the aid of hybrid... Fuel 180 (2016) 59–70 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Full Length Article Determination of minimum miscibility pressure in CO -IOR projects with the aid of hybrid neuro-fuzzy system Shahram Mollaiy-Berneti Young Researchers and Elite Club, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran highl i ghts graphical a bstrac t This study presents a hybrid ANFIS Initialization (Generate random initial particles) model by the integrating of PSO and fuzzy c-means clustering technique to determine CO -oil MMP. Reservoir temperature, crude oil Update global best Run the FCM clustering algorithm composition and composition of injected CO were considered as input 2 Update individual best Evaluate the objective function for each particle parameters and corresponding CO - oil MMP information was considered Fitness evaluation Update position as target parameter. Data sets related to experimental Stopping Obtain the optimal criteria Update velocity parameters CO -oil MMP from the available 2 satisfied? Evolutionary process literature were used for development of the proposed model. Construct the ANFIS Output the results The effectiveness of the proposed based FCM model model has been successfully tested by comparing with the well-known empirical correlations in published literature. article i nfo abstract Article history: http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuel Elsevier

Determination of minimum miscibility pressure in CO2-IOR projects with the aid of hybrid neuro-fuzzy system

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
0016-2361
D.O.I.
10.1016/j.fuel.2016.04.015
Publisher site
See Article on Publisher Site

Abstract

Fuel 180 (2016) 59–70 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Full Length Article Determination of minimum miscibility pressure in CO -IOR projects with the aid of hybrid neuro-fuzzy system Shahram Mollaiy-Berneti Young Researchers and Elite Club, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran highl i ghts graphical a bstrac t This study presents a hybrid ANFIS Initialization (Generate random initial particles) model by the integrating of PSO and fuzzy c-means clustering technique to determine CO -oil MMP. Reservoir temperature, crude oil Update global best Run the FCM clustering algorithm composition and composition of injected CO were considered as input 2 Update individual best Evaluate the objective function for each particle parameters and corresponding CO - oil MMP information was considered Fitness evaluation Update position as target parameter. Data sets related to experimental Stopping Obtain the optimal criteria Update velocity parameters CO -oil MMP from the available 2 satisfied? Evolutionary process literature were used for development of the proposed model. Construct the ANFIS Output the results The effectiveness of the proposed based FCM model model has been successfully tested by comparing with the well-known empirical correlations in published literature. article i nfo abstract Article history:

Journal

FuelElsevier

Published: Sep 15, 2016

References

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