Cycle skipping full waveform inversion
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 … WebDec 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 …
Cycle skipping full waveform inversion
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WebAug 17, 2024 · Full waveform inversion (FWI) with LL2 norm objective function often suffers from cycle skipping that causes the solution to be trapped in a local minimum, usually far from the true model. We introduce a new norm based on the optimal transport theory for measuring the data mismatch to overcome this problem. WebA key manifestation of this nonconvexity is cycle skipping, which happens if the predicted data are more than half a cycle away from the recorded data. We have developed the …
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 … WebJan 27, 2024 · Full Waveform Inversion (FWI) is an ill-posed non-linear inverse problem, aiming at recovering detailed pictures of subsurface physical properties, which are crucial to explore and understand...
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 full waveform inversion (FWI) is an optimization algorithm which aims at minimizing the prestack seismic data residual between synthetic and observed data. In this ... Webimpedance inversion is then performed with the interpolated well log model. Through this process, an enhanced initial model is built for mitigate the cycle-skipping problem in FWI. Introduction Full-waveform inversion (FWI) allows to reconstruct high-resolution velocity models of the subsurface
WebJun 1, 2024 · Full waveform inversion has shown its huge potentials in recovering a high-resolution subsurface model. However, conventional full waveform inversion usually suffers from cycle skipping, resulting in an inaccurate local minimum model. Extended waveform inversion provides an effective way to mitigate cycle skipping.
WebA proprietary dynamic warping correction avoids traditional cycle-skipping challenges, and the method does not depend upon an accurate starting model of velocity or any prior model of density. The PGS FWI solution is also extendable for multi-parameter updating, so … alberto aguayo rico mdWebFull 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 … alberto aibarWebSep 1, 2016 · In 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 dynamic... alberto aguayo ricoWebFull-waveform inversion (FWI) is a promising technique for recovering the earth models for exploration geophysics and global seismology. FWI is generally formulated as … alberto aguilera 30Web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... alberto aitiniWebFull-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. alberto aguilera 32WebFull-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. alberto aimi