Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Elastic Full-Waveform Inversion Using Migration‑Based Depth Reflector Representation in the Data Domain

Version 1 : Received: 25 November 2020 / Approved: 26 November 2020 / Online: 26 November 2020 (10:42:47 CET)

How to cite: Cheverda, V. Elastic Full-Waveform Inversion Using Migration‑Based Depth Reflector Representation in the Data Domain. Preprints 2020, 2020110663 (doi: 10.20944/preprints202011.0663.v1). Cheverda, V. Elastic Full-Waveform Inversion Using Migration‑Based Depth Reflector Representation in the Data Domain. Preprints 2020, 2020110663 (doi: 10.20944/preprints202011.0663.v1).

Abstract

Full-waveform seismic data inversion has given rise to hope for the simultaneous and automated execution of tomography and imaging by solving a nonlinear least-squares optimization problem. As previously recognized, brute force minimization by classical methods is hopeless if the data lacks low temporal frequencies. The article developed a reliable numerical method for recovering smooth velocity using model space decomposition. We present realistic synthetic examples to test the presented algorithm.

Subject Areas

FWI; macro velocity; waveform inversion; optimization; reflected waves

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