Run-Life Improvement by Implementation of Artificial-Lift-Systems Failure Classification

Topics: Artificial lift Offshore
Fig. 1—La Cira-Infantas field location.

This paper describes a methodology for classification of artificial-lift-system (ALS) failures and addition of a commonly used root-cause failure classification. This methodology was applied to different ALSs such as beam pumps (BPs), progressing cavity pumps (PCPs), electrical submersible pumps (ESPs), and electrical submersible progressing cavity pumps (ESPCPs). The starting point was the definition of the boundaries of each system. Then, each job in the well was defined as (1) a failure, (2) a failure, non-ALS, or (3) no failure, in order to look for ways to improve run life.


La Cira-Infantas oil field is in the Middle Magdalena Valley in Colombia (Fig. 1 above). The vast majority of the wells are completed with 7-in. production casing and perforated with 5 shots/ft with no sand-control completion in place, and then the ALS is installed.

ALS in La Cira-Infantas

From the beginning of the activity in La Cira-Infantas, almost 100 years ago, several ALSs have been used to produce ­fluids from the wells. Since 2005, the field has offered different conditions, depending on the mature state of the waterflooding—high water percentage, high and low flow rates, free gas, and corrosive fluids.

Currently, ALSs such as BPs, PCPs, ESPs, and ESPCPs are used for producing the total fluid of the field.

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper SPE 173913, “Run-Life Improvement by Implementation of Artificial-Lift-Systems Failure Classification and Root-Cause Failure Classification,” by Edward Rubiano, José Luis Martin, Jesus Prada, Manuel Monroy, Laura Labrador, Jonathan Celis, and Jahir Gutierrez, Oxy, and Michel Bohorquez, Ecopetrol, prepared for the 2015 SPE Artificial Lift Conference—Latin America and Caribbean, Salvador, Brazil, 27–28 May. The paper has not been peer reviewed.
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Run-Life Improvement by Implementation of Artificial-Lift-Systems Failure Classification

01 July 2016

Volume: 68 | Issue: 7