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Microseismic Monitoring and Geomechanical Modelling of CO2 - bris

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CHAPTER 6.<br />

GENERATING ANISOTROPIC SEISMIC MODELS BASED ON GEOMECHANICAL SIMULATION<br />

where<br />

c r = 2(1 − νr )<br />

πµ r a 0 (6.38)<br />

<strong>and</strong> ξ 0 is the crack density at a defined initial pressure (usually 0 MPa).<br />

As discussed in the previous section, by making the scalar crack assumption, we treat the overall<br />

crack distribution as three mutually orthogonal aligned sets, each contributing to one <strong>of</strong> the nonzero<br />

components <strong>of</strong> α. For each set, an initial crack density <strong>and</strong> average aspect ratio is defined; hence, for<br />

any applied stress field, α is calculated using equations 6.37 <strong>and</strong> 6.38 to give<br />

⎛<br />

⎞<br />

ξ 1 (σ c(n1) )/h 1 0 0<br />

α ij = ⎜<br />

⎝ 0 ξ 2 (σ c(n2) )/h 2 0 ⎟<br />

⎠ . (6.39)<br />

0 0 ξ 3 (σ c(n3) )/h 3<br />

6.3.5 Results<br />

Figure 6.8 shows the results <strong>of</strong> modelling the P- <strong>and</strong> S-wave velocities using equations 6.37 to 6.39<br />

for the samples discussed in the previous section. Table 6.2 shows the best fit initial average aspect<br />

ratios <strong>and</strong> crack densities used to produce these models.<br />

The fit between observed <strong>and</strong> modelled velocities is reasonable. Furthermore, the initial aspect<br />

ratios range between 5 × 10 −4 < a 0 < 5 × 10 −3 , which is a reasonable range <strong>of</strong> values expected for a<br />

distribution <strong>of</strong> flat, penny shaped cracks (Kuster <strong>and</strong> Toksoz, 1974). The results from Figure 6.8 <strong>and</strong><br />

Table 6.2 indicate that the nonlinear elastic behaviour can be modelled based on the assumption that<br />

it is made up <strong>of</strong> stiff, non-deforming mineral grains <strong>and</strong> displacement discontinuities in the form <strong>of</strong><br />

flat, penny shaped cracks with physically reasonable initial aspect ratio distributions.<br />

6.3.6 Anisotropy<br />

A benefit <strong>of</strong> my approach is the treatment <strong>of</strong> anisotropy. This model is capable <strong>of</strong> considering intrinsic<br />

anisotropy as well as stress induced anisotropy. Most rocks are intrinsically anisotropic. This intrinsic<br />

anisotropy is derived from two sources: alignment <strong>of</strong> minerals <strong>and</strong> alignment <strong>of</strong> fabrics.<br />

The alignment <strong>of</strong> mineral grains due to depositional, deformation or diagenetic processes (crystal<br />

preferred orientations, CPO) has been well studied as a cause <strong>of</strong> anisotropy (e.g., Blackman et al.,<br />

1993; Rümpker et al., 1999; Barruol <strong>and</strong> H<strong>of</strong>fmann, 1999; Kendall et al., 2007; Valcke et al., 2006).<br />

Elongate or platy minerals, such as micas <strong>and</strong> clays will tend to become aligned during deposition.<br />

The elasticities <strong>of</strong> these minerals can be highly anisotropic, with the principle axes <strong>of</strong> the elastic tensor<br />

aligned with the grain shape. By using the geomathematical model developed by Kendall et al. (2007)<br />

to evaluate the background compliance S r , we are able to assess the contribution <strong>of</strong> CPO to the<br />

anisotropy <strong>of</strong> a sample based on detailed petr<strong>of</strong>abric analysis. Equation 6.11 limits us to cases where<br />

the principle axes <strong>of</strong> the compliance tensor <strong>and</strong> <strong>of</strong> α are aligned. This should not pose a problem<br />

for VTI systems so long as one <strong>of</strong> the principle stress axes to be aligned vertically; however, more<br />

complicated anisotropic symmetries will still need to be dealt with carefully.<br />

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