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Effective History Matching: The Application of Advanced Software Techniques to the History-Matching Process

Authors: R.G. Parish; V.J. Calderbank; A.J. Watkins; A.H. Muggeridge; A.T. Goode; P.R. Robinson;

Effective History Matching: The Application of Advanced Software Techniques to the History-Matching Process

Abstract

Abstract The modelling and history matching of hydrocarbon reservoirs is widely accepted to be a challenging task requiring considerable expertise. This paper describes the application of advanced statistical and knowledge based techniques to the development of a software tool aimed at making the history matching process more efficient and effective. We conclude that, provided such systems are used as decision support tools for the reservoir engineer, they can significantly enhance the ability of the human expert to obtain a satisfactory history match.

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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!
11
Average
Top 10%
Average
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