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Application of Intelligent Well Management System to Optimize Field Performance in Golfo San Jorge Basin, Argentina

Authors: H. Moyano; R. D. Fiore; R. Mazzola; C. Ponce; E. Ferrigno;

Application of Intelligent Well Management System to Optimize Field Performance in Golfo San Jorge Basin, Argentina

Abstract

Abstract This work is based on the experience obtained through the implementation of a well automation system at the Cerro Dragón Contract Area. The key operating device of the Intelligent Well Management System (IWMS) is the Intelligent Well Controller (IWC), which is an electronic device, with a new technology to obtain control of the well based on surface and downhole dynamometric registers, the result of associated parameters and calculations, and the behavior of the electric motor. The purpose of this paper is to share our experience on the IWMS implementation and its contribution to: reduce the frequency of well interventions, accelerate the detection of well failures and decrease associated Downtime (DT), a quicker response detection at the waterflood affected wells, faster production optimization with new wells, save on energy demand, redesign the field operators' daily routine, define well selection criteria, and relocate current controllers. Taking advantage of the benefits of IWMS, we feel we are getting closer to excellence in the hydrocarbon producing field operations.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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