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Abstract

Summary

The contrast source inversion (CSI) is an algorithm for reconstructing the model parameter of a bounded object immersed in a known background from a knowledge of how the object scatters known incident radiation. In the contrast source inversion (CSI) method, the contrast sources (equivalent scattering source) and the contrast (parameter perturbation) are iteratively reconstructed by an alternating optimization scheme. Traditionally integral equation CSI method is formulated for transmission tomography using analytic Green’s function in homogeneous background. To extend the method to the case of reflection seismology, in this paper, we use WKBJ method to compute the Green’s function of depth dependent background media and an equation solving method to initialize the contrast source for different frequencies, resulting in an efficient method to invert multi-frequency reflection seismic data (MFCSI). Numerical results for the Marmousi model show that MFCSI method can obtain good results even when low frequency data are missing, in which case the conventional FWI fails.

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/content/papers/10.3997/2214-4609.201601540
2016-05-30
2024-04-26

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References

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The Contrast Source Inversion for Reflection Seismic Data
Conference Proceedings 2016, 1 (2016); https://doi.org/10.3997/2214-4609.201601540
/content/papers/10.3997/2214-4609.201601540
/content/papers/10.3997/2214-4609.201601540
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