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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3.4. SWS MEASUREMENTS AT WEYBURN<br />
dataset. The results are plotted in Figure 3.10. Although the NE-SW set has a higher density, it is<br />
the NW-SE set, at ∼140 ◦ , that is imaged by the synthetic inversion, just as it is with the real data.<br />
The explanation for this observation is that most <strong>of</strong> the events have arrived with azimuths close to<br />
NW or SE. As a result, they are travelling subparallel to the NW-SE set, <strong>and</strong> close to the normal <strong>of</strong><br />
the NE-SW set. When shear waves travel parallel to the normals <strong>of</strong> a fracture set they are not split by<br />
them. Hence, although in reality the NE-SW set has a higher density, it is at the wrong orientation<br />
to be imaged by the arrivals available, <strong>and</strong> so the inversion images the NW-SE set.<br />
This demonstrates how synthetic inversions can significantly enhance the interpretation <strong>of</strong> splitting<br />
results. This example also demonstrates how important the range <strong>of</strong> arrival angles available can be in<br />
determining what SWS can <strong>and</strong> cannot image. I conclude that while the splitting appears to image<br />
the secondary fracture set, this does not necessarily imply that the NE-SW set is not also open, only<br />
that I do not have the ray coverage to image it.<br />
3.4.4 <strong>Modelling</strong> two fracture sets<br />
An alternative approach to inverting the splitting results is to assume that two fracture sets are<br />
present, <strong>and</strong> to attempt to find the strikes <strong>and</strong> densities <strong>of</strong> both. To simplify the inversion I neglect<br />
the effects <strong>of</strong> any sedimentary fabric, as this was found to be small by the initial inversion (Figure<br />
3.9). I list the inversion results in Table 3.3, <strong>and</strong> plot the results in Figure 3.11. The inversion finds<br />
fractures striking at 42 ◦ <strong>and</strong> 150 ◦ , providing a good match with the fracture sets identified in core<br />
samples <strong>and</strong> borehole image logs. When I examine the misfit surfaces, I note that the best fit fracture<br />
densities trade <strong>of</strong>f against each other (Figure 3.11b) - this is because the two fracture set orientations<br />
are close to orthogonal. Bakulin et al. (2002) <strong>and</strong> Grechka <strong>and</strong> Tsvankin (2003) have shown that<br />
the same stiffness tensor, C, <strong>and</strong> therefore the same SWS patterns, can be produced by a range <strong>of</strong><br />
fracture densities, so long as the fractures are close to orthogonal. This means that the absolute value<br />
<strong>of</strong> fracture density for the two sets is not uniquely resolvable. However, I can determine the relative<br />
strength <strong>of</strong> each set: in Figure 3.11b the 90% confidence interval shows that the best fit fracture<br />
density for the set at 150 ◦ must be larger than the density <strong>of</strong> the set at 42 ◦ . This is in disagreement<br />
with the core sample work, which finds that the set at 40 ◦ has a higher density. However, there<br />
may well be geomechanical reasons for this disagreement, with injection activities altering the stress<br />
conditions to preferentially open the set at 150 ◦ (which runs perpendicular to the horizontal well<br />
trajectories at Weyburn). This will be discussed further in Chapter 8. I note now that because the<br />
splitting occurs over the whole <strong>of</strong> the raypath, which includes the overburden, as the receivers are<br />
placed above the reservoir, it is impossible to determine whether the fractures modelled are located<br />
in the reservoir, overburden or both.<br />
3.4.5 Phase II<br />
I also perform the inversion technique on SWS measurements from Phase II. The results are plotted<br />
in Figure 3.12. The 90% confidence intervals are very large, as the inversion does not appear to find a<br />
reliable interpretation for subsurface structure. There are a number <strong>of</strong> possible reasons for this failure.<br />
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