1887

Abstract

A combined teqnique to predict reervoir properties from seismic inversion results is considered. Classification methods, multiple regression models and neural networks are employed to obtain predicted values of reservoir properties. A case history of porosity prediction, confirmed by subsequent drilling and geophysical survey, is provided.

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/content/papers/10.3997/2214-4609-pdb.20.A022
2006-10-16
2020-06-01
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.20.A022
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