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Abstract

Summary

This paper discusses the implementation of image-domain least-squares Kirchhoff depth migration (LSKDM) through the use of point spread functions (PSFs). PSFs characterize the impulse responses of the modelling/migration system and capture the space, depth and dip-dependent illumination and wavelet stretch effects present in the migrated images. We show that PSFs suitable for inversion of Kirchhoff depth migrated images can be generated in a cost-effective way by computing Green’s functions through ray tracing and introducing independently (in a non-adjoint manner) the effects specific to modelling and Kirchhoff depth migration. We also show that it is possible to inject ghost-related effects into the PSFs and apply deghosting during LSKDM. Poststack and prestack inversion experiments confirm that imagedomain LSKDM based on these PSFs can greatly enhance Kirchhoff images and gathers, leading to improved structural interpretation and better amplitudes for any subsequent quantitative interpretation.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201601374
2016-05-30
2024-04-26

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601374
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Least-squares Kirchhoff Depth Migration in the Image Domain
Conference Proceedings 2016, 1 (2016); https://doi.org/10.3997/2214-4609.201601374
/content/papers/10.3997/2214-4609.201601374
/content/papers/10.3997/2214-4609.201601374
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