Selection of the Best Artificial Lift Method for One of the Iranian Oil Field Using Multiple Attribute Decision Making Methods

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Author(s) Ehsan Fatahi | Hossein Jalalifar | Pyman Pourafshari | Babak Moradi
Pages 188-194
Volume 2
Issue 2
Date February, 2012
Keywords Artificial lift, multiple criteria decision making, Gas lift, Down hole pump, ELECTRE, TOPSIS

Production rate from oil fields is reduced due to various parameters with time. So it is needed to use some methods to compensate the reduction of production rate. Artificial lift method is the most suitable way to increase production rate. Artificial lift is one of the methods that increase the production rate by means of down hole pressure reduction. Artificial lift includes five methods and it is very important to select the best method, considering field conditions. In this paper, the best artificial lift is selected, using multiple criteria decision making models, such as; Technique for order preference by similarity to ideal solution (TOPSIS) and Elimination Et Choix Traduisant He realite( ELECTRE). In this research, 25 effective parameters are used for the method selection in one of the Iranian oil field. Comparing the obtained results from multiple criteria decision making methods, the best artificial lift method in the corresponding field is selected.

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