Estimating permeability from well log data
Many approaches to estimating permeability exist. Recognizing the importance of rock type, various petrophysical (grain size, surface area, and pore size) models have been developed. This page explores techniques for applying well logs and other data to the problem of predicting permeability [k or log(k)] in uncored wells. If the rock formation of interest has a fairly uniform grain composition and a common diagenetic history, then log(k)-Φ patterns are simple, straightforward statistical prediction techniques can be used, and reservoir zonation is not required. However, if a field encompasses severallithologies, perhaps with varying diagenetic imprints resulting from varying mineral composition and fluid flow histories, then the log(k)-Φ patterns are scattered, and reservoir zonation is required before predictive techniques can be applied.
June, 2015
- Country:
- North America > United States (0.30)
- Geologic Time:
- Phanerozoic (0.70)
- Geology:
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.34)
- Geophysics:
- Geophysics > Borehole Geophysics (1.00)
- Oilfield Places:
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054
- Block 31/2 > Troll Field
- Fensfjord Formation (0.99)
- Heather Formation (0.99)
- Sognefjord Formation (0.99)
- Block 31/3 > Troll Field
- Fensfjord Formation (0.99)
- Heather Formation (0.99)
- Sognefjord Formation (0.99)
- Block 31/5 > Troll Field
- Fensfjord Formation (0.99)
- Heather Formation (0.99)
- Sognefjord Formation (0.99)
- Block 31/6 > Troll Field
- Fensfjord Formation (0.99)
- Heather Formation (0.99)
- Sognefjord Formation (0.99)
- Block 31/2 > Troll Field
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054
- SPE Disciplines:
- Technology: