structural geology, propagation mechanics and - Stanford School of ...
structural geology, propagation mechanics and - Stanford School of ...
structural geology, propagation mechanics and - Stanford School of ...
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<strong>and</strong> Pollard 2000; Lothe et al. 2002), rendering them impediments to fluid flow under<br />
saturated conditions (Figure 5.2).<br />
Sternl<strong>of</strong> et al. (2004) have shown that anastomosing arrays <strong>of</strong> subparallel, subvertical<br />
CBs abundantly exposed in the Aztec s<strong>and</strong>stone (Figure 5.3) would significantly reduce<br />
bulk permeability <strong>and</strong> induce permeability anisotropy at outcrop scales. Part <strong>of</strong> a<br />
widespread Jurassic æolian system that includes the Navajo <strong>and</strong> Nugget s<strong>and</strong>stones<br />
(Marzolf 1983; Blakey 1989), the 1,400-m-thick Aztec is a medium-grained sub-arkose<br />
that is typified by large-scale cross stratification (Bohannon 1983) <strong>and</strong> comprises an<br />
exhumed analog for aquifers <strong>and</strong> reservoirs in similar lithologies. The pervasive CB<br />
arrays, which cut across depositional bedding as the oldest <strong>structural</strong> fabric present,<br />
formed in response to compression associated with the Cretaceous Sevier Orogeny (Hill<br />
1989; Eichhubl et al. 2004; Sternl<strong>of</strong> et al. 2005). If present in an active aquifer or<br />
reservoir, these b<strong>and</strong> arrays would cause substantial fluid-flow effects at scales relevant<br />
to production <strong>and</strong> management (Sternl<strong>of</strong> et al. in review).<br />
The specific hydraulic impacts exerted by CBs depend strongly on their porosity <strong>and</strong><br />
permeability relative to the surrounding s<strong>and</strong>stone matrix, as well as on geometrical<br />
factors such as average b<strong>and</strong> thickness, spacing <strong>and</strong> connectivity (Sternl<strong>of</strong> et al. 2004).<br />
Their limited thickness, however, renders direct measurement <strong>of</strong> CB permeability<br />
difficult <strong>and</strong> potentially inaccurate under even optimal conditions (Antonellini <strong>and</strong> Aydin<br />
1994). Given the generally limited availability <strong>of</strong> potentially unconsolidated core samples<br />
from active aquifers <strong>and</strong> reservoirs, problems proliferate. Methods for estimating<br />
permeability from epoxy-impregnated thin-sections using computational techniques<br />
provide an alternative (e.g. Berryman <strong>and</strong> Blair 1987; Adler et al. 1990; Bakke <strong>and</strong> Øren<br />
1997; Blair et al. 1996).<br />
In this paper, we evaluate a new physics-based algorithm for estimating permeability<br />
from thin section images (Keehm et al. 2004). In order to simulate the realistic situation<br />
<strong>of</strong> limited subsurface sample supply, we apply the method to a single, representative thin<br />
section from the Aztec (Figure 5.4) <strong>and</strong> compare the resulting estimates <strong>of</strong> CB <strong>and</strong> matrix<br />
permeability to available measurements reported for the Navajo <strong>and</strong> Aztec s<strong>and</strong>stones<br />
(Antonellini <strong>and</strong> Aydin 1994; Flodin et al. 2005).<br />
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