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Abstract

Summary

The offshore Cyprus region has seen significant recent success in terms of hydrocarbon discoveries. Improved data quality through technical development of geophysical imaging workflows and technologies are key for further exploration success. In this case study, seven existing 3D surveys acquired between 2007 and 2017 have been re-processed and merged using a state-of-the-art broadband depth imaging flow to generate a single seamless seismic volume of about 20 000 km2. The processing steps include full 3D deghosting, 3D demultiple, 4D regularization, tomographic velocity model building, TTI Kirchhoff depth migration and post-processing. Comparisons with legacy data sets over the area show significantly improved data quality and illustrate the value of re-processing with state-of-the-art flows to produce regional seamless data sets very well suited for exploration.

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/content/papers/10.3997/2214-4609.202330010
2023-12-04
2025-06-19
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References

  1. Klochikhina, E., Crawley, S., Frolov, S., Chemingui, N. and Martin, T. [2020] Leveraging deep learning for seismic image denoising, First Break, 38(7), 41–48.
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