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structural geology, propagation mechanics and - Stanford School of ...

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1. Abstract<br />

Chapter 5<br />

Computational estimation <strong>of</strong> compaction b<strong>and</strong> permeability:<br />

From thin-section estimations to reservoir implications<br />

Permeability measurements can be difficult to obtain when sample availability is<br />

restricted, dimensions are limited, or materials poorly consolidated. With subsurface<br />

cores <strong>of</strong> s<strong>and</strong>stone containing thin, tabular compaction b<strong>and</strong>s, all three challenges could<br />

arise. Methods for estimating permeability from thin-section provide an alternative. We<br />

evaluate a new physics-based computational technique, in which Lattice-Boltzmann flow<br />

simulations are conducted on stochastic realizations <strong>of</strong> 3-D pore structure generated from<br />

digital thin-section images. Applied to a representative thin section from the Aztec<br />

s<strong>and</strong>stone <strong>of</strong> southeastern Nevada, an exhumed analog for b<strong>and</strong>-rich s<strong>and</strong>stone aquifers<br />

<strong>and</strong> reservoirs, the method yields estimates that agree well with available data—a few<br />

millidarcys (b<strong>and</strong>) to a few Darcys (s<strong>and</strong>stone)—capturing the range <strong>of</strong> both matrix <strong>and</strong><br />

compaction-b<strong>and</strong> permeability from a single thin section. Extracted from a subsurface<br />

equivalent <strong>of</strong> the Aztec, such data could prove invaluable, as pervasive arrays <strong>of</strong><br />

compaction b<strong>and</strong>s in s<strong>and</strong>stone have been shown capable <strong>of</strong> exerting substantial fluid-<br />

flow effects at scales relevant to aquifer <strong>and</strong> reservoir management.<br />

2. Introduction<br />

In porous, granular rocks such as the Aztec s<strong>and</strong>stone in the Valley <strong>of</strong> Fire State Park<br />

<strong>of</strong> southeastern Nevada (Figure 5.1), compaction b<strong>and</strong>s (CBs) crop out as thin, tabular<br />

features <strong>of</strong> porosity-loss compaction accommodated by grain damage, rearrangement <strong>and</strong><br />

preferential clay accumulation (Sternl<strong>of</strong> et al. 2005). Generally up to a few centimeters in<br />

thickness <strong>and</strong> tens <strong>of</strong> meters in planar extent, they represent the kinematic subset <strong>of</strong><br />

deformation b<strong>and</strong>s dominated by closing-mode displacement <strong>and</strong> oriented perpendicular<br />

to the local direction <strong>of</strong> maximum compression (Mollema <strong>and</strong> Antonellini 1996; Du<br />

Bernard et al. 2002; Borja <strong>and</strong> Aydin 2004; Sternl<strong>of</strong> et al. 2005). Reduced porosity, pore<br />

connectivity <strong>and</strong> average pore-throat diameter conspire to decrease deformation-b<strong>and</strong><br />

permeability by one to four orders <strong>of</strong> magnitude relative to the host rock matrix (Pittman<br />

1981; Freeman 1990; Antonellini <strong>and</strong> Aydin 1994; Crawford 1998; Gibson 1998; Taylor<br />

125

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