terça-feira, 8 de janeiro de 2013

2007b - Multi-attribute Seismic Cell Reservoir/Non-Reservoir Classi¯cation with Kernel Based Methods

Kernel machines are recognized as an important class of arti¯cial intelligence methods. Their
use in geosciences applications have been increasing in recent years. In this paper we propose a new
scheme to distinguish each seismic cell as reservoir or non-reservoir. For this, we use multi-attribute
seismic and well data for the learning process. The method shows to be very promising and by the
use of a friendly GoCAD interface the user specify the few parameters of the method.

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