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Geothermal Data Mining -- Value in Antiques

Roland N. Horne

Key words
data analysis, nonparametric regression, wavelets
Conference
New Zealand Geothermal Workshop
Year
2008
Session
Keynote
Language
English

Full text

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Abstract

Analysis of the production history in developed geothermal fields has been used extensively to forecast the future life of the reservoir. Mature reservoirs such as Wairakei offer a unique opportunity to take a retrospective look at how well reservoir engineering methods have been able to predict the future. In general, reservoir models have performed adequately at describing the bulk volume-pressure behaviour of reservoirs such as Wairakei, however there are other significant production behaviours such as thermal breakthrough from injection wells that have been almost impossible to predict. These fracture-dominated phenomena can still be modelled, however may need a different approach. The use of data mining procedures that allow the reservoir to reveal its own internal dependencies can provide very good indications of future behaviour, even for such events as thermal breakthrough. This paper will describe wellto- well correlation techniques based on nonparametric regression. The techniques have been applied successfully to real field histories.

Copyright 2008, University of Auckland. Readers who download papers from this site should honour the copyright of the original authors, and may not copy or distribute the work further without the permission of the original publisher.

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