NEURAL NETWORKS PROVIDE MORE ACCURATE RESERVOIR PERMEABILITY

Debra A. Osborne Texaco Exploration & Production Inc. Midland, Tex. For Texaco Exploration & Production Inc.'s proposed Roberts Unit CO2 flood, neural networks almost doubled the correlation coefficient of the crossplot of core-derived permeability vs. predicted permeability. The higher correlation coefficient gives more accurate and reliable permeabilities. Accurate permeability estimates are an essential element of such flood projects.

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