Tcheverda, V.; Gadylshin, K. Elastic Full-Waveform Inversion Using Migration-Based Depth Reflector Representation in the Data Domain. Geosciences 2021, 11, 76, doi:10.3390/geosciences11020076.
Tcheverda, V.; Gadylshin, K. Elastic Full-Waveform Inversion Using Migration-Based Depth Reflector Representation in the Data Domain. Geosciences 2021, 11, 76, doi:10.3390/geosciences11020076.
Tcheverda, V.; Gadylshin, K. Elastic Full-Waveform Inversion Using Migration-Based Depth Reflector Representation in the Data Domain. Geosciences 2021, 11, 76, doi:10.3390/geosciences11020076.
Tcheverda, V.; Gadylshin, K. Elastic Full-Waveform Inversion Using Migration-Based Depth Reflector Representation in the Data Domain. Geosciences 2021, 11, 76, doi:10.3390/geosciences11020076.
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.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
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