Title :
Seismic Velocity and Polarization Estimation for Wavefield Separation
Author :
Donno, Daniela ; Nehorai, Arye ; Spagnolini, Umberto
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan
Abstract :
We address the problem of estimating the shape parameters of seismic wavefields using linear arrays of three-component (3C) vector sensors with uncertain acquisition geometry. The goal is to separate the different seismic waves, which is of practical need for oil exploration and geophysics. We present a parametric model for multiple wideband polarized signals received by an array of three-component sensors with positional and rotational calibration errors, and derive the Cramer-Rao lower bounds on the performance of the model parameters for both the exact physical model and the model with uncertain acquisition geometry. We propose a method for jointly estimating the velocity and polarization parameters based on the shift-invariance properties of multiple wavefields impinging on the linear array. We then remove the interfering surface waves by using a beamforming filter designed to exploit the velocity and polarization diversity of the different seismic waves, after clustering of the shape-parameter estimates. Examples using simulated and experimental data illustrate the applicability of the proposed methodology.
Keywords :
array signal processing; filtering theory; polarisation; seismic waves; Cramer-Rao lower bounds; beamforming filter; linear arrays; rotational calibration errors; seismic velocity-polarization estimation; shape parameter estimation; shift-invariance properties; surface wave removal; three-component vector sensors; uncertain acquisition geometry; wavefield separation; Array signal processing; CramÉr–Rao bound; Cramer-Rao bound; vector-sensor broadband beamforming; vector-sensor calibration errors; velocity/polarization estimation;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.927459