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AVO MODELING

The 2-D impedance inversion has shown that the hydrate appears to significantly change its lateral characteristic. This structure might be either related to the hydrate itself and its changing properties and occurrence in the pore space, or some real structure beneath the BSR. In order to evaluate the obtained impedance contrasts more in terms of velocity contrast, I explored which velocity/impedance model could reproduce the AVO data locally at three different BSR structures. To minimize the variation and noise of the data, I assumed that in the area I chose the local lithology properties do not vary within at least 150 m. Thus I used at least three adjacent CMP gathers to average my amplitude response. Several velocity models were constructed that were constrained to preserve the average interval velocity of the area. The density contrast across the BSR is assumed to be known and held constant in the modeling. Since the density of pure hydrate is significantly larger than that of gas, I assumed a slight decrease in the density at the BSR. This is supported by the well data in the area Ecker (1997). Synthetic AVO responses were then estimated for the individual models using Zoeppritz equations and compared with the seismic data. I have shown in the other paper included in this report Ecker (1997) that local AVO analysis is rather robust for the estimation of the acoustic properties, but can include a significant error for the S-wave properties depending on the variance of the data. Thus, several models might fit the data within a reasonable error bound and I will give a possible range as an error estimate.

In the first model, I picked the amplitude at a place of opposite P- and S-impedance contrasts at 50 km distance. The picked amplitudes as seen in the left panel of Figure 9, are increasingly negative with increasing angle. The modeling shows that his is consistent with a decrease in P-wave velocity of approximately 400 m/s across the BSR and a simultaneous increase in S-wave velocity of about 150 m/s. The best fit obtained from Zoeppritz modeling is overlain with the data. In order to give an idea about the goodness of fit, I plot in the right panel of Figure 9 how the curves would look like for changes in the S-wave velocity contrast of $\pm$ 100 m/s. A similar results was obtained in a previous study of part of the data Ecker and Lumley (1994a) and explained by the sediment containing hydrate to be uncemented and thus mechanically weak Ecker et al. (1996).

 
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Figure 9
Picked amplitudes along the BSR. The best fit is modeled using Zoeppritz equations and overlain on the picks on the left panel. The right panel shows additional the possible errors bounds of the fit.
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The next AVO picks were obtained at a distance of about 47 km, in an area of event interference. The amplitudes show a trend which is clearly opposed to the previous one. Instead of increasing with increasing offset, the amplitudes decrease. Modeling this behavior results again in a significantly large negative P-impedance contrast, but an S-contrast of the same sign (Figure 10). The best data fit suggest a decrease in S-wave velocity of about 300 m/s. Considering the data variations this would be determined within a $\pm$ 50 m/s bound as seen in the right side of Figure 10. This model indicates a completely different hydrate behavior than before. However, it must be carefully evaluated since the amplitude trend might have been distorted from interference, and thus might not represent the actual BSR trend. A possible explanation for this kind of behavior might be that the hydrate is not underlain by gas but by brine saturated sediment in this area. Due to the increase in density, this would lead to a positive S-wave velocity contrast.

In the third modeling evaluation, I picked the amplitudes at a section near the flank of the BSR (35 km). The amplitudes display a trend which is between the two previous responses. The AVO modeling results in a velocity model that again has a negative, but smaller P-wave velocity contrast across the BSR. The best data fit is reached with a zero shear wave contrast, meaning that there is no change in the shear wave velocity and density across the BSR. The error bounds suggest a $\pm$ 50 m/s limit on the amplitudes, which can mean that there is either a small positive or a small negative contrast. This might support the hypothesis of only a small amount of hydrate saturation of the sediments in this area.

 
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Figure 10
Picked amplitudes along the BSR. The best fit of the data, obtained from Zoeppritz equations, is overlain with the picks. The right side of the picture shows the errors bounds for the fit.
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Figure 11
Picked amplitudes along the BSR. The bet data fit is overlain on the left side and shows the appropriate errors limits on the right side.
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The different velocity at the three BSR sections (strong, interfering, flank) are displayed in Figure 12. It is obvious that while the P-wave velocity change stays approximately the same, at least in sign, there is considerable change in the shear wave behavior.

 
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Figure 12
P- and S-wave velocity models obtained from the AVO analysis.
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previous up next print clean
Next: CONCLUSIONS Up: Ecker: Hydrate Characterization Previous: IMPEDANCE INVERSION
Stanford Exploration Project
11/11/1997