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Abstract

Summary

Seismic data must be optimally processed for accurate reservoir characterization, and therefore each step of the processing sequence should be carefully designed and assessed for AVO compliance and primary preservation. In this paper, we focus on the demultiple process. This step is critical as it can be difficult to identify and separate primaries and multiples, especially in shallow water settings and at the low frequencies typical of broadband data. In this paper, we show 3 examples of using AVO information in the demultiple process. We discuss how AVO can help to derive primary models and how it can be incorporated into the cost functions of existing algorithms, such as the Radon transform or the adaptive subtraction. These algorithms can also be applied on migrated data, and we suggest that migrated multiple models are a powerful processing QC. We finish by showing a new AVO quality control via a pre-defined pre-stack classification method.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201900780
2019-06-03
2024-04-27

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900780
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Demultiple Techniques With Improved AVO Compliance
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201900780
/content/papers/10.3997/2214-4609.201900780
/content/papers/10.3997/2214-4609.201900780
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