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Abstract

Summary

The least-squares elastic reverse-time migration (LSERTM) gives an access to the true amplitude migration of the subsurface multiple parameters. Compared with conventional ERTM, it eliminates the background low-frequency noise, and enhances the illumination in the deep model. With the consideration of density variation, the best match of the waveform can be achieved, and more migrated images can be obtained to reconstruct the parameter reflectivity and suppress the parameter crosstalk.

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/content/papers/10.3997/2214-4609.201701128
2017-06-12
2024-04-19

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References

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The Least-squares Elastic Reverse-time Migration with Density Variation
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201701128
/content/papers/10.3997/2214-4609.201701128
/content/papers/10.3997/2214-4609.201701128
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