1887

Abstract

I developed a new robust 5D interpolation method for seismic data regularization with a preconditioned least-squares inversion. Based on the assumption of linearity, the preconditioner is derived from the amplitude spectra automatically predicted from the regularized low frequency data. It plays a key role in the stabilization of the inversion and de-alsasing of the data. The method is efficient because it uses Non-uniform fast Fourier transform. A field data example demonstrates how it performs when applied to highly irregular data.

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/content/papers/10.3997/2214-4609.201400809
2010-06-14
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201400809
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