Decoupled deblurring filter and its application to elastic migration and inversion

Feng, Zongcai; Schuster, Gerard T.; Dai, Weihui

doi:10.1190/segam2017-17677303.1

Cited by 2 publications

(1 citation statement)

References 16 publications

(20 reference statements)

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“…) and (

v_{h}

, η, ε) (Alkhalifah and Plessix ). Moreover, the inverse of the multi‐parameter Hessian matrix can be calculated and applied to the gradients during the inversion to reduce the trade‐off (Tang and Lee ; Feng, Schuster and Dai ).…”

Section: Discussionmentioning

confidence: 99%

Transmission + reflection anisotropic wave‐equation traveltime and waveform inversion

Feng

Schuster

2019

Geophysical Prospecting

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A B S T R A C TA transmission + reflection wave-equation traveltime and waveform inversion method is presented that inverts the seismic data for the anisotropic parameters in a vertical transverse isotropic medium. The simultaneous inversion of anisotropic parameters v p0 and is initially performed using transmission wave-equation traveltime inversion method. Transmission wave-equation traveltime only provides the low-intermediate wavenumbers for the shallow part of the anisotropic model; in contrast, reflection wave-equation traveltime estimates the anisotropic parameters in the deeper section of the model. By incorporating a layer-stripping method with reflection wave-equation traveltime, the ambiguity between the background-velocity model and the depths of reflectors can be greatly mitigated. In the final step, multi-scale fullwaveform inversion is performed to recover the high-wavenumber component of the model. We use a synthetic model to illustrate the local minima problem of fullwaveform inversion and how transmission and reflection wave-equation traveltime can mitigate this problem. We demonstrate the efficacy of our new method using field data from the Gulf of Mexico.

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“…) and (

v_{h}

Section: Discussionmentioning

confidence: 99%

Transmission + reflection anisotropic wave‐equation traveltime and waveform inversion

Feng

Schuster

2019

Geophysical Prospecting

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Elastic least-squares reverse time migration with density variations

et al. 2018

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Elastic least-squares reverse time migration (ELSRTM) is a powerful tool to retrieve high-resolution subsurface images of the earth’s interior. By minimizing the differences between synthetic and observed data, ELSRTM can improve spatial resolution and reduce migration artifacts. However, conventional ELSRTM methods usually assume constant density models, which cause inaccurate amplitude performance in resulting images. To partially remedy this problem, we have developed a new ELSRTM method that considers P- and S-wave velocity and density variations. Our method can simultaneously obtain P- and S-wave velocity and density images with enhanced amplitude fidelity and suppressed parameter crosstalk. In addition, it can provide subsurface elastic impedance images by summing the inverted velocity images with the density image. Compared with the conventional ELSRTM method, our method can improve the quality of final images and provide more accurate reflectivity estimates. Numerical experiments on a horizontal reflector model and a Marmousi-II model demonstrate the effectiveness of this method.

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Decoupled deblurring filter and its application to elastic migration and inversion

Cited by 2 publications

References 16 publications

Transmission + reflection anisotropic wave‐equation traveltime and waveform inversion

Transmission + reflection anisotropic wave‐equation traveltime and waveform inversion

Elastic least-squares reverse time migration with density variations

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