Elastic reflection-based waveform inversion with a nonlinear approach

Guo, Qiang; Alkhalifah, Tariq

doi:10.1190/geo2016-0407.1

Cited by 65 publications

(27 citation statements)

References 43 publications

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“…Based on the analysis above, except separation between the migration and tomography components, objective functions and inversion constraints described in previous sections, RWI includes other study topics: firstly, seismic data preprocesses, which aims to remove all energy unable to be modeled by the modeling kernel in the data, as well as the residuals not generated by the parameters of inversion; secondly, multi-parameter inversion, including P-wave velocity, S-wave velocity, anisotropic parameters and attenuation factor Q. RWI based on elastic wave equations has been explored preliminarily (e.g., Guo and Alkhalifah 2017;Li et al 2019;Ren et al 2019).…”

Section: Conclusion and Future Perspectivementioning

confidence: 99%

A review on reflection-waveform inversion

Yao

Wang

2020

Pet. Sci.

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Full-waveform inversion (FWI) utilizes optimization methods to recover an optimal Earth model to best fit the observed seismic record in a sense of a predefined norm. Since FWI combines mathematic inversion and full-wave equations, it has been recognized as one of the key methods for seismic data imaging and Earth model building in the fields of global/regional and exploration seismology. Unfortunately, conventional FWI fixes background velocity mainly relying on refraction and turning waves that are commonly rich in large offsets. By contrast, reflections in the short offsets mainly contribute to the reconstruction of the high-resolution interfaces. Restricted by acquisition geometries, refractions and turning waves in the record usually have limited penetration depth, which may not reach oil/gas reservoirs. Thus, reflections in the record are the only source that carries the information of these reservoirs. Consequently, it is meaningful to develop reflection-waveform inversion (RWI) that utilizes reflections to recover background velocity including the deep part of the model. This review paper includes: analyzing the weaknesses of FWI when inverting reflections; overviewing the principles of RWI, including separation of the tomography and migration components, the objective functions, constraints; summarizing the current status of the technique of RWI; outlooking the future of RWI.

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Section: Conclusion and Future Perspectivementioning

confidence: 99%

A review on reflection-waveform inversion

Yao

Wang

2020

Pet. Sci.

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“…In the transmission + reflection WTW method, this problem is greatly mitigated using transmission WT tomograms as the initial velocity model and incorporating the layer‐stripping method with reflection WT. The other problem is that the reflectors should be imaged by a least‐squares type of optimization (AlTheyab and Schuster ; Guo and Alkhalifah ). Since we only fit the traveltimes in reflection WT, standard migration is enough to get the location of reflection events which greatly reduce the computation cost.…”

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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“…To mitigate the cycle-skipping problem in EFWI, many new approaches were proposed. Guo and Alkhalifah (2017) and Li et al (2017) used a nonlinear objective function to invert for the background velocity and the reflectivity, simultaneously, without and with considering the density, respectively. Zhang et al (2018) proposed a normalized nonzero-lag crosscorrelation objective function to mitigate the cycle skipping.…”

Section: Introductionmentioning

confidence: 99%

An efficient wavefield inversion for isotropic elastic media

Song

Alkhalifah

Wang

et al. 2019

SEG Technical Program Expanded Abstracts 2019

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Full-waveform inversion (FWI) is a highly non-linear optimization problem which aims at retrieving high-resolution models of the subsurface parameters. Elastic FWI (EFWI) should provide a better representation to the elastic nature of the subsurface than the simple acoustic assumption. However, including elastic parameters in the EFWI requires higher the computational cost and storage memory not to mention the added complexity of dealing with multi parameters and higher nonlinearity in the inversion. To mitigate these problems, we propose an efficient wavefield inversion (EWI) for elastic media. By inverting for a background model wavefield that partially fits the data and the wave equation for a modified source, we are able to extend the search space at a reduced cost. It also saves the storage memory by avoiding storing the background wavefields. We formulate the P-and S-wave velocity perturbations into a linear inversion system to reduce the tradeoff in the multi-parameter waveform inversion. Applications on synthetic data generated from a modified Overthrust model and a modified Marmousi model show the effectiveness of the proposed method.

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Elastic reflection-based waveform inversion with a nonlinear approach

Cited by 65 publications

References 43 publications

A review on reflection-waveform inversion

A review on reflection-waveform inversion

Transmission + reflection anisotropic wave‐equation traveltime and waveform inversion

An efficient wavefield inversion for isotropic elastic media

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