WebJun 1, 2024 · Extended waveform inversion provides an effective way to mitigate cycle skipping. A matching filter between the predicted and observed data can provide an additional degree of freedom to improve the data fitting and avoid the cycle skipping. WebFull-waveform inversion (FWI) is non-linear data-fitting procedure that aims at obtaining detailed estimates of subsurface properties from seismic data, which can be the result of either passive or active seismic experiments. Given an initial guess of the subsurface parameters, (a model) the data are predicted by solving a wave-equation.
Mitigate Cycle-skipping for Full-waveform Inversion by …
WebConventional full-waveform seismic inversion (FWI) tries to estimate a subsurface model that can accurately predict surface records by minimizing an ${L} _{\mathbf {2}}$ -norm … WebApr 11, 2024 · FWI uses a two-way wave equation to invert for high-resolution velocity and anisotropy models derived from seismic data. Mitigate cycle skipping and improve model accuracy Complying with the half-wavelength criteria is a fundamental challenge for FWI. ferns community centre
(PDF) Uncertainties estimation in Full Waveform Inversion …
WebApr 10, 2024 · Full-waveform inversion (FWI) is a promising technique for recovering the earth models for exploration geophysics and global seismology. FWI is generally formulated as the minimization of an objective function, defined as the L2-norm of the data residuals. WebCompared to conventional FWI, this robust new approach minimizes classic FWI cycle-skipping issues related to an inaccurate initial model, amplitude mismatches and poor signal-to-noise ratio. TLFWI has been highly … WebTools Share ABSTRACT Full-waveform inversion, a high-resolution seismic imaging method, is known to require sufficiently accurate initial models to converge toward … ferns company house