Methodology

First we calculate the dip. Dip can be easily calculated using a plane-wave destructor as described in ().

For the dip in the x direction of a seismic cube with a wave field represented by u(x,y,t), at each sample we calculate:  

$$p_x = - \ {x' * t'\over t' * t'}$$ (117)

where x' is the $\partial u / \partial x$ taken on a mesh in (x,t) and t' is $\partial u / \partial t$. Because we are calculating a different dip at each sample, it is necessary to smooth the dips. We apply a triangle filter to both the numerator and denominator of equation (). Presently, in calculating p_x, we smooth along the x-axis and t-axis. However, a more robust approach would be to smooth along the x-axis, t-axis, and y-axis.

Our main objective is to find an absolute time (t) at each sample in the seismic data cube. Because the dip can be thought of as the gradient ($\nabla$), the dip in the x direction (p_x) is the x component of the gradient. Similarly, the dip in the y direction (p_y) is the y component of the gradient. Using our integration method described below, we first apply the divergence ($\nabla'$) to the gradient. Then we convert to Fourier space where we integrate twice by dividing by the Laplacian. Then we convert back to the time domain. The resulting t can be thought of as the absolute time for each point in the data.

Beginning with our input dip data:

$$\nabla t \quad = \quad \left({\partial \over \partial x}, {\partial \over \partial y},{\partial \over \partial t} \right)t$$ (118)

where ${\partial \over \partial x} = p_x, {\partial \over \partial y} = p_y,$ and ${\partial \over \partial t}$ is all ones for smoothness in time (explained below).

The analytical solution is found with:  

$$t \quad \approx \quad FFT^{-1} \left[{FFT \left[ \nabla' \na... ...over { -Z_x^{-1} -Z_y^{-1} -Z_t^{-1} +6 -Z_x -Z_y -Z_t} \right]$$ (119)

where $Z_x = e^{i w \Delta x} \ \rm , \ Z_y = e^{i w \Delta y} \rm ,\ Z_t = e^{i w \Delta t} \ \rm and \ FFT \ \rm {is \ the \ 3D \ Fourier \ transform}$.

The denominator is the Z-transform of the 3D Laplacian. The zero frequency term of the Z-transform of the denominator is neglected. This means that the resulting surface in space will have an unknown constant shift applied to it. However, by adding the t dimension and assuming the gradient in the t direction to be all ones, we are insuring that the integrated time varies smoothly in the t direction.

Integrating in three dimensions enforces vertical smoothness. The dip in the t direction is all ones. This can be thought of intuitively as imagining that the dip in the x direction is the derivative of x with respect to t. So dip in the t direction is the derivative of t with respect to t, therefore it is always one. By integrating in 3D, we prevent our method from swapping sample positions in time.