1887

Abstract

Summary

Short period multiple prediction for land data is challenging due to poor imaging of the shallow multiple generators as well little information about the down-going reflection at the weathering layer. Based on multiple imaging of the shallow section, surface-related wave-equation deconvolution has been used in recent years to improve multiple prediction in such areas. We improve the accuracy of wave-equation deconvolution to include an angle dependency of the multiple generator reflectivity. In addition, we modify the approach to handle internal multiple predictions where the lower-generator is provided by surface-related wave-equation deconvolution, and the upper-reflectivity is derived through least-squares inversion. The combined benefit of these two approaches is demonstrated on a land dataset from south Oman.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202310962
2023-06-05
2026-01-23

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/content/papers/10.3997/2214-4609.202310962
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Wave-equation deconvolution for angle-dependent reflectivity and internal multiple prediction
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202310962
/content/papers/10.3997/2214-4609.202310962
/content/papers/10.3997/2214-4609.202310962
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