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Optimising Water Injection Performance

Authors: R W Paige; L R Murray; J P Martins; S M Marsha;

Optimising Water Injection Performance

Abstract

ABSTRACT In recent years, major advances have been made in understanding injection well performance. In particular, the impact of fracturing, thermal stress effects and water quality are far better understood, as a result of both improved theoretical understanding and from detailed analyses of field data. This paper reviews our current understanding of the processes which control the performance of injection wells, including the effects of produced water quality, taking examples mainly from the Prudhoe Bay and Forties oil fields. Techniques for predicting and optimising injector performance under a variety of circumstances are discussed, together with the implications for waterflood management.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
29
Top 10%
Top 10%
Average
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