Statistically-based Lithofacies Predictions for 3-D Reservoir Modeling:An Example from the Panoma (Council Grove) Field,Hugoton Embayment,Southwest Kansas

Kansas Geological Survey
Open-file Report 2003-30

Prediction Results

measured by comparing predicted vs. training set.

Correct Lithofacies Predictions
Impact of error lessened if lithofacies predicted is closely related.

Reservoir Thickness by Lithofacies
Impact of error lessened if the total count for a given lithofacies is close to actual.

Reservoir Volume by Lithofacies
Impact of error lessened if the total volume for a given lithofacies is close to actual.

Porosity Distribution by Lithofacies
Permeability is not a linear relationship with porosity, thus the porosity distribution is critical

Predicted Lithofacies Scorecard (Counts)

 

 

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Last updated May 2003

http://www.kgs.ku.edu/PRS/publication/2003/ofr2003-30/P2-07.html