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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Prediction of Fractured Reservoir Properties
and Performance in Folded Carbonates of the
Canadian Foothills, Alberta and British Columbia
By
1Exxon Production Research, Houston, Texas
2Imperial Oil Limited, Calgary, Alberta
*now at Husky Oil Operations Limited,
Calgary, Alberta
Fractured reservoirs are common
exploration targets in fold and thrust
belts because of the relatively high levels
of structural deformation. A recently
completed effort to predict fracturing
and its effect on reservoir quality in the
Canadian Rocky mountain foothills has
shown that: 1) lithology and structure
are the primary controls on fracture intensity
and orientation, 2) intensity of
effective fractures is correlated to gas
productivity, and 3) map curvature is a
useful
tool for predrill estimates of fracture
intensity and expected flow rates.
Methods used in the study included core
and outcrop fracture description,
petrophysical analyses, and productivity analysis.
Geologic factors having the greatest control on fracturing were quantified with respect to fracture characteristics. Fracture intensity was compared with whole core permeability and flow rates from wells with sustained production. Lithologic factors that enhance fracturing in these carbonate reservoirs are increased dolomite and silica content, low porosity, fine grain size, and lack of silt and clay. Structural factors that enhance fracturing are the amount of stratal bending, which is quantified by map curvature, and the presence of faults, especially in stacked duplexes of sliced forelimbs of fault propagation folds. Higher flow rates generally correlate well to higher fracture intensities and greater map curvature. Although curvature is highest along fold hinges, it varies significantly with changes in tightness along a single fold and between different folds. These results enable us to integrate lithologic and structural data from these complex settings for improved fracture prediction, which is important for prospect evaluation, target selection, and drilling and completion strategies.
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