Journal of Petroleum and Gas Engineering
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Article Number - DD2D4E82719


Vol.1(1), pp. 009-015 , March 2010

ISSN: 2141-2677


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Full Length Research Paper

A prediction to the best artificial lift method selection on the basis of TOPSIS model


Mehrdad Alemi1, 3, 5, Hossein Jalalifar3, 5, Gholamreza Kamali4 and Mansour Kalbasi1, 2




 

1Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran.

2Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran.

3Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Iran.

4Department of Mining Engineering, Shahid Bahonar University of Kerman, Iran.

5Environmental and Energy Research Center, Shahid Bahonar University of Kerman, Iran.


Email: [email protected]






 Accepted: 03 February 2010  Published: 31 March 2010

Copyright © 2010 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


 

Artificial lift as a system adding energy to the fluid column in a wellbore to initiate and enhance production from the well is necessary when reservoir drives do not sustain acceptable rates or cause fluids to flow at all in some cases which use a range of operating principles, including pumping and gas lifting. Technique for order preference by similarity to ideal solution (TOPSIS) model or method is one of the most prevalent multi criteria decision making methods to solve problems involving selection from among a finite number of criteria and specify the attribute information in order to arrive at a choice. In this paper, a novel software method on the basis of technique for order preference by similarity to ideal solution model has been enabled to present the best artificial lift method selection for different circumstances of oil fields.

 

Key words: Artificial lift, technique for order preference by similarity to ideal solution, multi criteria decision making.


APA (2010). A prediction to the best artificial lift method selection on the basis of TOPSIS model. Journal of Petroleum and Gas Engineering, 1(1), 009-015.
Chicago Mehrdad Alemi, , , Hossein Jalalifar, , Gholamreza Kamali and Mansour Kalbasi, . "A prediction to the best artificial lift method selection on the basis of TOPSIS model." Journal of Petroleum and Gas Engineering 1, no. 1 (2010): 009-015.
MLA Mehrdad Alemi, et al. "A prediction to the best artificial lift method selection on the basis of TOPSIS model." Journal of Petroleum and Gas Engineering 1.1 (2010): 009-015.
   
DOI https://doi.org/
URL http://academicjournals.org/journal/JPGE/article-abstract/DD2D4E82719

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