Accelerating full-waveform inversion through adaptive gradient optimization methods and dynamic simultaneous sources
Geophysical Journal International(2020)
摘要
Full-waveform inversion (FWI) is a procedure based on the minimization of a misfit (or cost) function applied to the difference between synthetic waveforms and real seismic traces that derives high-resolution velocity models. This is achieved through the iterative adjustment of the velocity model and/or some other physical parameters of the Earth's subsurface, which generally implies large computa...
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关键词
Inverse theory,Neural networks, fuzzy logic,Numerical modelling,Numerical solutions,Waveform inversion,Computational seismology
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