Uncertainty estimation in seismo-acoustic reflection travel time inversion.

摘要: This paper develops a nonlinear Bayesian inversion for high-resolution seabed reflection travel time data including rigorous uncertainty estimation and examination of statistical assumptions. Travel are picked on seismo-acoustic traces inverted layered sediment sound-velocity model. Particular attention is paid to picking errors which often biased, correlated, nonstationary. Non-Toeplitz covariance matrices estimated included in the along with unknown offset (bias) parameters account these errors. Simulated experiments show that neglecting error covariances biases can cause misleading results unrealistically high confidence. The samples posterior probability density provides solution terms one- two-dimensional marginal densities, correlations, credibility intervals. Statistical assumptions examined through residuals tests. method applied shallow-water collected Malta Plateau during SCARAB98 experiment.