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Abstract

Summary

A new spectral balancing method based on a continuous wavelet transform is introduced. A hybrid spectral decomposition method, customizable to behave either as a short time Fourier or continuous wavelet transform, is used to decompose the input into its constituent frequencies. Anelastic attenuation processes are accounted for by construction of mother wavelets, being scaled and dilated. This new method is true-amplitude, lifting weaker amplitude frequencies to the same level as the amplitude of the strongest frequency band. The improvements within an interpretation context are evident when comparing the input and spectrally enhanced output. We test the new spectral balancing method on a 3D onshore survey acquired across the Teapot Dome structure, Wyoming. Previously unresolved features in the original amplitude are resolved on the spectrally balanced output. Spectral balancing provides additional information which often is obscured or masked by the limited bandwidth in conventional post-stack data.

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/content/papers/10.3997/2214-4609.201700532
2017-06-12
2024-10-09

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/content/papers/10.3997/2214-4609.201700532
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Generalized Spectral Decomposition and Its Use in Spectral Balancing
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201700532
/content/papers/10.3997/2214-4609.201700532
/content/papers/10.3997/2214-4609.201700532
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