Source signature and static shifts estimations for multi-component ocean bottom data |
Traditionally, PZ summation is employed to extract the up-going portion of the wavefield with the goal of eliminating water reverberation (Rosales and Guitton, 2004). We use the down-going wavefield to estimate the source wavelet at a different offset. For PZ summation, Barr and Sanders (1989) have derived a relation to model the up-going wavefield as shown in the following equation:
where is the up-going wavefield, is the pressure, is the vertical velocity, is the water density, is the P-wave water velocity, is the P-wave refraction angle at the sea bottom for upgoing wavefield, and , are the reflection coefficient and the refraction coefficient of the ocean bottom, respectively. One drawback of equation 2 is that it assumes that the reflection coefficent of the ocean surface is -1, which is not always true. We have used a more data-driven approach in which a scaling factor between P and Z is fitted from the amplitude of their direct arrival, as described by equations 3 and 4.
From equation 2, we can see that the scaling factor in front of is offset-dependent. In this study, instead of calculating the scaling factor from equation 2, we fit for it from the amplitude of the pressure and vertical velocity components, time-windowed around the direct arrival:
where scale is the offset dependent scaling factor between pressure and vertical particle velocity, and is the time-window near the direct arrival time. Figure 7 shows the scaling factor computed using equation 4. Figure 8 shows the resulting up-going and down-going signals after PZ summation. Notice that the up-going signal is much weaker than the down going signal.
scale
Figure 7. Scaling factor as a function of offset. It is estimated from the average amplitude of P over the average amplitude of Z [ER] |
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PZ
Figure 8. The top shows the resulting up-going wavefields and the bottom shows the down-going wavefields after PZ summation. [ER] |
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Source signature and static shifts estimations for multi-component ocean bottom data |