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Wave scattering deconvolution by seismic inversion

Journal Article · · Geophys. Prospect.; (United States)

The authors propose a wave scattering approach to the problem of deconvolution by the inversion of the reflection seismogram. They study the full wave solution of the one-dimensional wave equation for deconvolution. Both the reflectivity and the section multiple train can be predicted from the boundary data (the reflection seismogram). This is in contrast to the usual statistical approach in which reflectivity is unpredictable and random, and the section multiple train is the only predictable component of the seismogram. The proposed scattering approach also differs from Claerbout's method based on the Kunetz equation. The computer algorithm recursively solves for the pressure and particle velocity response and the impedance log. The method accomplishes deconvolution and impedance log reconstruction. The authors tested the method by computer model experiments and obtained satisfactory results using noise-free synthetic data. Further study is recommended for the method's application to real data.

Research Organization:
Dept. of Geology and Geophysics and Geophysical Research Lab., Univ. of New Orleans, New Orleans, LA 70112
OSTI ID:
5776837
Journal Information:
Geophys. Prospect.; (United States), Journal Name: Geophys. Prospect.; (United States) Vol. 35:5; ISSN GPPRA
Country of Publication:
United States
Language:
English