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

Mehrdad Alemi^{1, 3, 5}, Hossein Jalalifar^{3, 5}, Gholamreza Kamali⁴ and Mansour Kalbasi^{1, 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.

*Corresponding author. E-mail: jalalyfar@yahoo.com . Tel: +98 341 2123083.

Fax: +98 341 2123083.

Accepted 3 February, 2010

   Abstract

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.