Permeability Prediction for Sandstone Reservoir Rock Utilizing Laboratory NMR- Measurements
Résumé
Permeability is one of the most significant and challenging parameters to estimate when characterizing a hydrocarbon-producing reservoir. Several empirical methods with geophysical borehole logs have been employed to estimate it indirectly. They include the Timur model, which uses conventional logs, and the Timur-Coates model, which uses the nuclear magnetic resonance log. The present study's first aim was to correlate core porosity with NMR-porosity because it directly impacts permeability estimates. The regression line equations are calculated with a consistently very high coefficient of correlations for 25 sandstone core samples (R2 = 0.93 and 0.71) obtained from the Szolnok (Hungary) and the Baharyia (Egypt) formations, respectively. The Coates model was used to predict permeability for sandstone core samples obtained from hydrocarbon reservoir intervals. Only 11 core samples belonged to the Szolnok Formation (Hungary), while the rest belonged to the Baharyia Formation (Egypt). An innovative model was suggested and approved to be more effective than the Coates model in permeability prediction for sandstone reservoir rocks. It could produce a reliable solution with consistent parameters and an accurate permeability estimation
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