Microseismic Monitoring and Geomechanical Modelling of CO2 - bris
Microseismic Monitoring and Geomechanical Modelling of CO2 - bris
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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