Data space reflectivity full waveform inversion

Kirill Gadylshin, Vladimir Tcheverda

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number012080
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 13 Dec 2019
Externally publishedYes
Event4th International Conference on Supercomputer Technologies of Mathematical Modelling, SCTeMM 2019 - Moscow, Russian Federation
Duration: 19 Jun 201921 Jun 2019


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