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Abstract

Summary

Full Waveform Inversion (FWI) is one of enabling methods for estimating subsurface parameters such as velocity, impedance and density. Since had introduced the back-propagation technique in the time domain, FWI has developed steadily in time, Fourier and Laplace-Fourier domains ( ). FWI has been used generally with acoustic wave equation and has produced reliable results especially for marine datasets. However, in the application of real land datasets, several challenges remain, such as, near surface scattering noise, ground roll and source and receiver coupling and amplitude irregularities ( ). In this paper, we introduce an improved application of FWI on real land dataset acquired using inhomogeneous sources blending mode (i.e., dispersed source arrays, ). The acoustic hybrid FWI methodology was used where the source signal spatial variations were incorporated during the inversion process. Additionally, we add a weighting function in the logarithmic objective function to suppress background noise and elastic waves having large amplitudes (i.e., ground roll).

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/content/papers/10.3997/2214-4609.20141122
2014-06-16
2024-04-26

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References

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Land Full Waveform Inversion for Dispersed Source Arrays
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141122
/content/papers/10.3997/2214-4609.20141122
/content/papers/10.3997/2214-4609.20141122
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