TY - JOUR

T1 - Data space reflectivity full waveform inversion

AU - Gadylshin, Kirill

AU - Tcheverda, Vladimir

PY - 2019/12/13

Y1 - 2019/12/13

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85078105963&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1392/1/012080

DO - 10.1088/1742-6596/1392/1/012080

M3 - Conference article

AN - SCOPUS:85078105963

VL - 1392

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012080

T2 - 4th International Conference on Supercomputer Technologies of Mathematical Modelling, SCTeMM 2019

Y2 - 19 June 2019 through 21 June 2019

ER -