Stochastic geophysical diffraction tomography | Zendy

Tsihrintzis George A. | Zendy; Devaney Anthony J. | Zendy

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Stochastic geophysical diffraction tomography

Author(s) -

Tsihrintzis George A.,

Devaney Anthony J.

Publication year - 1994

Publication title -

international journal of imaging systems and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.359

H-Index - 47

eISSN - 1098-1098

pISSN - 0899-9457

DOI - 10.1002/ima.1850050307

Subject(s) - diffraction tomography , offset (computer science) , tomography , geophysics , stochastic process , diffraction , geology , seismic tomography , realization (probability) , backpropagation , exploration geophysics , geophysical imaging , statistical physics , computer science , physics , artificial neural network , mathematics , optics , artificial intelligence , statistics , programming language , mantle (geology)

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

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