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Water-bottom multiple in Image Space

Given the kinematic equivalence between the water-bottom multiple and a primary from a reflector dipping at twice the dip angle, we can express the image space coordinates of the water-bottom multiple in terms of the data space coordinates by solving the system of equations presented by Fomel and Prucha 1999:
   \begin{eqnarray}
t_m&=&\frac{2\hat{Z}_\xi}{V}\frac{\cos\hat{\varphi}\cos\hat{\ga...
 ...varphi}\cos\hat{\varphi}}{\cos^2\hat{\varphi}-\sin^2\hat{\gamma}},\end{eqnarray} (13)
(14)
(15)
where $(\hat{X}_\xi,\hat{m}_\xi,\hat{\gamma})$ are the image space coordinates of the primary that is kinematically equivalent to the first order water-bottom multiple as mentioned n the previous section and $\hat{\varphi}=2\varphi$. The formal solution of these equations, for the image space coordinates is:
\begin{eqnarray}
\sin\hat{\gamma}&=&\frac{2h_D\cos 2\varphi}{Vt_m}\longrightarro...
 ...rac{V^2t_m^2\sin(2\varphi)}{2\sqrt{V^2t_m^2-4h_D^2\cos^2\varphi}}.\end{eqnarray} (16)
(17)
(18)
These equations allow the computation of the impulse response of the water-bottom multiples in image space as a function of the aperture angle. More importantly, they are the starting point for understanding the kinematics of the data in 3D ADCIGs Tisserant and Biondi (2004), still a subject of research.
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Next: 2D Synthetic data example Up: Alvarez: Kinematics of multiples Previous: Diffracted multiples
Stanford Exploration Project
5/3/2005