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Ahead of Print Abstract
AAPG Bulletin, Preliminary version published online
Copyright © 2023. The American Association of Petroleum Geologists. All rights reserved.
High-resolution petrophysical, geochemical, and geomechanical profiling of a 230 m continuous core from the Montney Formation (Canada)
Daniela Becerra1 , Christopher R. Clarkson, and Amin Ghanizadeh
1 Department of Geoscience, University of Calgary1: 2500 University Drive N.W., Calgary, Alberta, Canada, T2N 1N4
Ahead of Print Abstract
An unprecedented high-resolution data set consisting of elemental compositions (from X-ray fluorescence, XRF), permeability (using a profile permeameter), and rock hardness (using a micro-rebound hammer tool) was obtained from a continuous core (230 m) sampling the entire Montney, as well as small intervals of the bounding formations. These non-destructive tests were collected on the slabbed core at 2.5 cm intervals (approximately 10,000 measurement points). Routine core data (porosity, permeability, etc.), collected sporadically throughout the 210 m interval covering the Montney portion of the core, and a conventional log suite, were also available for comparison with the high-resolution data set.
Vertical profiling results demonstrate that the entire Montney Formation (Lower and Middle members) exhibits significant cm-scale heterogeneity. These members are easily distinguished with the high-resolution dataset and reservoir quality trends (as quantified with permeability and rock hardness) are similarly easily inferred. As a result, targets for horizontal lateral placement can be confidently selected. In addition, the high-resolution profiling method proposed herein may have important applications for simulating hydraulic fracture height growth and for selecting appropriate and representative samples (e.g., core plugs). For the former, low-hardness, organic-rich mudstone beds, and weak interfaces with more competent rock, could act to blunt hydraulic fracture growth. For the latter, the cm-scale resolution of profiling enables sampling of lithologies for which reservoir properties vary at the cm-scale, which is not possible through well log analysis.
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