2014
DOI: 10.1190/geo2013-0460.1
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Amplitude-preserving reverse time migration: From reflectivity to velocity and impedance inversion

Abstract: Conventional methods of prestack depth imaging aim at producing a structural image that delineates the interfaces of the geologic variations or the reflectivity of the earth. However, it is the underlying impedance and velocity changes that generate this reflectivity that are of more interest for characterizing the reservoir. Indeed, the need to generate a better product for geologic interpretation leads to the subsequent application of traditional seismic-inversion techniques to the reflectivity sections that… Show more

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Cited by 75 publications
(22 citation statements)
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“…; Zhang et al . ). Figure (b) shows samples of weighting functions computed at four different depth locations.…”
Section: Numerical Examplesmentioning
confidence: 97%
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“…; Zhang et al . ). Figure (b) shows samples of weighting functions computed at four different depth locations.…”
Section: Numerical Examplesmentioning
confidence: 97%
“…depth point at crossline location were calculated using equation (17). Seismic events located in 0°-5°were excluded in the calculation of DOWFI because of the singularity problem in the amplitude-preserving RTM (Xu et al 2011;Zhang et al 2014). Figure 4(b) shows samples of weighting functions computed at four different depth locations.…”
Section: Two-dimensional Synthetic Marmousi Data Examplementioning
confidence: 99%
“…In which, h is the reflection angle at the imaging location and the term d(h 0 (x; x s ) -h) represents the conversion from shot gathers to reflection angle gathers (Zhang et al 2014). Therefore, in the future, we suggest adopt the anisotropic method and amplitude-preserving crosscorrelation imaging condition to obtain the ADCIGs and more precisely imaging results.…”
Section: Discussionmentioning
confidence: 99%
“…At last, the similar correlation-type imaging condition is employed to obtain the image (Zhang et al 2014),…”
Section: Imaging Capability Comparisonmentioning
confidence: 99%
“…To speed up convergence, approximations to the inverse Hessian can be used (Pratt et al 1998;Métivier et al 2012;Feng, Guo and Schuster 2018). Qin, Allemand and Lambaré (2015) and Tang and McMechan (2017) use amplitude-preserving reverse time migration (Zhang et al 2014) for calculating the FWI gradient. Plessix and Li (2013) suggest that after source deconvolution/whitening of the data, a spectral shaping of ω − β/2 (β = 1 for 3D and 2 for 2D) is applied to the data so that the spectrum of the FWI gradient is similar to the Earth spectrum.…”
Section: Objective Function and Gradientmentioning
confidence: 99%