pylops.utils.seismicevents.parabolic2d#

pylops.utils.seismicevents.parabolic2d(x, t, t0, px, pxx, amp, wav)[source]#

Parabolic 2D events

Create 2d parabolic events given intercept time, slowness, curvature, and amplitude of each event

Parameters

xnumpy.ndarray: space axis
tnumpy.ndarray: time axis
t0tuple or float: intercept time at \(x=0\) of each parabolic event
pxtuple or float: slowness of each parabolic event
pxxtuple or float: curvature of each parabolic event
amptuple or float: amplitude of each parabolic event
wavnumpy.ndarray: wavelet to be applied to data

Returns

dnumpy.ndarray: data without wavelet of size \([n_x \times n_t]\)
dwavnumpy.ndarray: data with wavelet of size \([n_x \times n_t]\)

Notes

Each event is created using the following relation:

\[t_i(x) = t_{0,i} + p_{x,i} x + p_{xx,i} x^2\]

Examples using `pylops.utils.seismicevents.parabolic2d`#

1D, 2D and 3D Sliding

1D, 2D and 3D Sliding

Convolution

Patching

Synthetic seismic

Synthetic seismic

11. Radon filtering

11. Radon filtering