Stochastic geophysical diffraction tomography

We revisit geophysical diffraction tomography (GDT) and cast it into a stochastic framework, in which the geophysical formation to be imaged is modeled as a realization of a two‐dimensional stationary random process. It is shown that the optimum reconstruction algorithm, in both the cases of offset vertical seismic profiling and well‐to‐well probing, attains a modified filtered backpropagation form.©1994 John Wiley & Sons Inc