Neural network determines shaly-sand hydrocarbon saturation

Neuro-estimation of water saturation in shaly formation from well log data is powerful and adds a new predicted model for evaluating these formations.Shaly formation interpretation has been a major problem for log analysts because existing models that estimate hydrocarbon saturation in these formations have wide discrepancies.Shaly sand models based on shale volume fraction (Vsh) fail consistently to predict representative values of hydrocarbon saturation from wireline data.Cation exchange capacity models require laboratory-determined concentration of sodium exchange cation associated with clay (Qv) value that is not commonly available to the log analyst. In addition, different laboratory...

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