2000
DOI: 10.1046/j.1365-246x.2000.00144.x
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Seismic amplitude inversion for interface geometry: practical approach for application

Abstract: Summary This paper presents a practical approach for the application of real seismic amplitude data in the context of reflection seismic tomography. The estimation of recorded seismic amplitudes from reflection seismic gathers is performed with the aid of pre‐stack time migration, which enhances continuity and reflection strength and reduces reflection point dispersal and diffraction effects. Moreover, contraction of the Fresnel zone by migration brings the amplitudes closer to the ray amplitudes assumed in th… Show more

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Cited by 15 publications
(8 citation statements)
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References 33 publications
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“…These parameters are then assumed to be known a priori in the interface inversion. Application examples of the multi-stage damped subspace method are shown in WANG (1999) and WANG et al (2000).…”
Section: In6ersion Resultsmentioning
confidence: 99%
“…These parameters are then assumed to be known a priori in the interface inversion. Application examples of the multi-stage damped subspace method are shown in WANG (1999) and WANG et al (2000).…”
Section: In6ersion Resultsmentioning
confidence: 99%
“…The model parameter can be recovered as m=boldm prior +()GTboldG+μCm11boldGTΔd,where Δd=dg(boldm prior ) is the data residual, μ proportional to σn is the trade‐off parameter of the regularization term and can be estimated using varied methods to guarantee an optimal solution (Wang ; Wang et al . ; Wang and Pratt ; Downton ; Alemie and Sacchi ).…”
Section: Methodsmentioning
confidence: 99%
“…Strong outliers might have strong and biased influence on the model update. As the frequency‐domain data samples are complex valued, it is not easy to mitigate the data noise in a way similar to our method for winnowing traveltimes and amplitudes (Wang et al 2000). Waveform inversion is a highly non‐linear problem but if, in a linearized procedure, strong outliers are transferred linearly to strong model updates, this causes the problem to be unstable and divergent.…”
Section: Waveform Inversion Of Real Datamentioning
confidence: 99%