pylops.avo.avo.psยถ
- pylops.avo.avo.ps(theta, vsvp, n=1)[source]ยถ
PS reflection coefficient
Computes the coefficients for the PS approximation for a set of angles and a constant or variable VS/VP ratio.
- Parameters:
- theta
numpy.ndarray Incident angles in degrees
- vsvp
numpy.ndarrayorfloat \(V_S/V_P\) ratio
- n
int, optional Number of samples (if
vsvpis a scalar)
- theta
- Returns:
- G1
numpy.ndarray First coefficient for VP \([n_{\theta} \times n_\text{vsvp}]\). Since the PS reflection at zero angle is zero, this value is not used and is only available to ensure function signature compatibility with other linearization routines.
- G2
numpy.ndarray Second coefficient for VS \([n_{\theta} \times n_\text{vsvp}]\)
- G3
numpy.ndarray Third coefficient for density \([n_{\theta} \times n_\text{vsvp}]\)
- G1
Notes
The approximation in [1] is used to compute the PS reflection coefficient as linear combination of contrasts in \(V_P\), \(V_S\), and \(\rho.\) More specifically:
\[R(\theta) = G_2(\theta) \frac{\Delta V_S}{\bar{V_S}} + G_3(\theta) \frac{\Delta \rho}{\overline{\rho}}\]where
\[\begin{split}\begin{align} G_2(\theta) &= \frac{\tan \theta}{2} \left\{4 (V_S/V_P)^2 \sin^2 \theta - 4(V_S/V_P) \cos \theta \cos \phi \right\},\\ G_3(\theta) &= - \frac{\tan \theta}{2} \left\{1 - 2 (V_S/V_P)^2 \sin^2 \theta + 2(V_S/V_P) \cos \theta \cos \phi\right\},\\ \frac{\Delta V_S}{\overline{V_S}} &= 2 \frac{V_{S,2}-V_{S,1}}{V_{S,2}+V_{S,1}},\\ \frac{\Delta \rho}{\overline{\rho}} &= 2 \frac{\rho_2-\rho_1}{\rho_2+\rho_1}. \end{align}\end{split}\]Note that \(\theta\) is the P-incidence angle whilst \(\phi\) is the S-reflected angle which is computed using Snellโs law and the average \(V_S/V_P\) ratio.
[1]Xu, Y., and Bancroft, J.C., โJoint AVO analysis of PP and PS seismic dataโ, CREWES Report, vol. 9. 1997.