Cycle skipping full waveform inversion
WebFull Waveform Inversion can be made immune to cycle skipping by matching the recorded data arbitrarily well from inaccurate subsurface models. To achieve this goal, the simulated wavefields can be computed in an extended search space as the solution of an overdetermined problem aiming at jointly satisfying the wave equation and fitting the … WebTools Share ABSTRACT Full-waveform inversion, a high-resolution seismic imaging method, is known to require sufficiently accurate initial models to converge toward …
Cycle skipping full waveform inversion
Did you know?
WebOct 22, 2024 · Full-waveform inversion (FWI) is a highly nonlinear and nonconvex problem. To mitigate the dependence of FWI on the quality of starting model and on the … WebMany implementations of full waveform inversion (FWI) use an L2 norm to quantify differences between the modelled and observed data. Unfortunately, this approach is prone to cycle skipping when the supplied velocity is too far from the truth. Starting FWI at lower frequencies widens the desired basin of attraction yielding convergence towards a more …
WebHowever, acquired seismic data usually lack low frequencies, resulting in severe cycle skipping of FWI, when the initial velocity model is far away from the true one. ... Seismic … WebIn this paper we develop dynamic-warping full-waveform inversion (D-FWI) to address the well-known cycle skipping problem in conventional full-waveform inversion (FWI). The …
WebNov 1, 2014 · Full-waveform inversion is re-emerging as a powerful data-fitting procedure for quantitative seismic imaging of the subsurface from wide-azimuth seismic data. This method is suitable to build... WebJun 1, 2024 · Full waveform inversion has shown its huge potentials in recovering a high-resolution subsurface model. However, conventional full waveform inversion usually …
Web付昊桓,FuHaohuan,清华大学, 68. Jizhong Yang, Yunyue Elita Li, Yuzhu Liu, Yanwen Wei, '''Haohuan Fu''', “Mitigating the cycle-skipping of full- waveform inversion by random gradient sampling”, Geo...
WebApr 13, 2024 · ABSTRACT P/S-wave separation is a key step for data processing in multicomponent seismic exploration. The conventional methods rely on either the prior information of near-surface elastic properties or the carefully selected parameters to estimate the polarization directions of the P- and S-modes when arriving at the … nus susep applicationnus summer workshopWebDec 20, 2024 · For the purpose of effective suppression of the cycle-skipping phenomenon in full waveform inversion (FWI), we developed a Deep Neural Network (DNN) approach to predict the absent low-frequency components by exploiting the implicit relation connecting the low-frequency and high-frequency data through the subsurface geological and … nus supply chain management courseWeb68. Jizhong Yang, Yunyue Elita Li, Yuzhu Liu, Yanwen Wei, '''Haohuan Fu''', “Mitigating the cycle-skipping of full- waveform inversion by random gradient sampling ... nolan rothkopfWebJun 17, 2024 · ABSTRACT Full waveform inversion in transversely isotropic media with a vertical symmetry axis provides an opportunity to better match the data at the near and far offsets. However, multi‐parameter full waveform inversion, in general, suffers from serious cycle‐skipping and trade‐off problems. Reflection waveform inversion can help us … nolan ryan chicken fried steakWebMar 27, 2024 · Full waveform inversion, a high-resolution seismic imaging method, is known to require sufficiently accurate initial models to converge toward meaningful estimations of the subsurface... nolan ryan injury historyWebApr 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. nus summer school for international students