1887

Abstract

The paper focuses on possibilities of modeling of reservoir properties in complex medium conditions. This is done via incorporation of seismic attributes and acoustic impedance as a result of inversion into neural networks analysis in order to predict porosity and permeability distribution in the whole reservoir based on well data. The study of actual advantages of implementing impedance data is emphasized.

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/content/papers/10.3997/2214-4609.20146964
2008-04-07
2020-09-18
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20146964
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