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5D Interpolation of Seismic Data With a Least-squares Fourier Inversion
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010, Jun 2010, cp-161-00217
- ISBN: 978-90-73781-86-3
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.