Spectral Analysis in Stratigraphic Interpretation
Spectral recomposition splits the seismic spectrum into Ricker components. It provides a tool for imaging and mapping temporal bed thicknesses and geologic discontinuities. We propose a separable nonlinear least-squares estimation in spectral recomposition. Employing the Gauss-Newton method, separable nonlinear least-squares approach estimates fundamental signal parameters: peak frequencies and amplitudes.
AAPG Search and Discovery Article #90200 © AAPG Geoscience Technology Workshop, Fifth Annual AAPG-SPE Deepwater Reservoir, January 28-29, 2014, Houston, Texas