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Data space reflectivity full waveform inversion
Author(s) -
Kirill Gadylshin,
Vladimir Tcheverda
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1392/1/012080
Subject(s) - inversion (geology) , waveform , algorithm , minification , computer science , reflectivity , synthetic data , mathematical optimization , mathematics , geology , optics , seismology , physics , telecommunications , radar , tectonics
The full waveform inversion of seismic data aroused the hope to perform simultaneously and in automated way tomography and imaging by solving non-linear least-squares optimization problem. As it has been recognized early, brute force minimization by classical methods is hopeless if low time frequencies are absent in the data. The paper develops a reliable numerical technique for smooth velocity reconstruction via model space decomposition. We present realistic synthetic examples for validating presented algorithm.

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